Two senior US senators have warned Nvidia CEO Jensen Huang not to meet Chinese companies suspected of helping Beijing evade US export controls, intensifying scrutiny over American technology firms’ ties to China’s AI sector.&nbsp;According to Reuters, the bipartisan warning comes in the form of a letter sent on Friday, just as Huang prepared for his trip to China. Republican Senator Jim Banks and Democratic Senator Elizabeth Warren urged him to avoid meetings with companies linked to China’s military or intelligence bodies, as well as firms placed on the US restricted export list. “We are worried that your trip to the PRC could legitimize companies that cooperate closely with the Chinese military or involve discussing exploitable gaps in US export controls,” the senators wrote, as quoted by Reuters.<h2>Growing US concerns over AI technology transfers</h2>The letter reflects Washington’s deepening fears that advanced American AI hardware could boost China’s military modernisation. Lawmakers across party lines have backed tighter restrictions on AI chip exports, worried about efforts to circumvent existing controls.&nbsp;As per Reuters, the senators said advanced AI hardware could “accelerate the PRC’s effort to modernize its military.” They also cited Nvidia’s new research facility in Shanghai as an example of the company’s growing footprint in China, suggesting such moves risk aiding Beijing’s strategic ambitions. US lawmakers have proposed new legislation that would require AI chip makers to verify where their products ultimately end up, aiming to close loopholes that might enable transfers to Chinese military or intelligence-linked users.<h2>Nvidia’s response and tightrope strategy</h2>In response, an Nvidia spokesperson defended the company’s approach, telling Reuters, “American wins when our technology sets the global standard.” The spokesperson added that China is home to one of the world’s largest software developer communities and argued that ensuring AI software runs best on American technology would encourage other nations to adopt US systems.&nbsp;The letter comes just weeks after Nvidia CEO Jensen Huang publicly praised President Donald Trump’s decision to ease certain AI chip export controls, calling prior restrictions a failure. Speaking at the Computex trade show in Taipei in May, Huang framed the partial rollback as a win for American competitiveness. But Reuters notes that even after those relaxations, US restrictions imposed in April on AI chips Nvidia designed to comply with earlier controls will still cut an estimated $15 billion from Nvidia’s revenue.<h2>A high-stakes balancing act</h2>Nvidia, the world’s most valuable chip company, has found itself at the centre of geopolitical tensions as the US tightens technology exports to China. Washington sees advanced AI hardware as a critical frontier, with bipartisan agreement that it must prevent China’s military from gaining access to cutting-edge systems.&nbsp;Reuters reported last month that a senior US official accused Chinese AI firm DeepSeek of supporting Beijing’s military and intelligence agencies while trying to dodge export controls through shell companies. Meanwhile, Nvidia has been working on launching a cheaper, export-compliant version of its flagship Blackwell AI chips for the Chinese market, according to Reuters reporting in May.<h2>Why it matters?&nbsp;</h2>The exchange between US lawmakers and Nvidia underscores the difficult balance American tech giants face. China is a vast market, but one increasingly off-limits for sensitive technologies under US national security policy. As the Biden administration continues Trump-era restrictions while refining them, companies like Nvidia must navigate a complex web of regulations, commercial interests, and geopolitical rivalries.&nbsp;For now, Huang’s trip to China has triggered a clear political warning from Washington: avoid any engagement that might undermine the hardening wall of US export controls.

Ahead of Nvidia CEO Jensen Huang trip to China, US senators issued a stern warning to avoid firms linked to Beijing’s military or on the export control list. 

Two senior US senators have warned Nvidia CEO Jensen Huang not to meet Chinese companies suspected of helping Beijing evade US export controls, intensifying scrutiny over American technology firms’ ties to China’s AI sector. According to Reuters, the bipartisan warning comes in the form of a letter sent on Friday, just as Huang prepared for his trip to China. Republican Senator Jim Banks and Democratic Senator Elizabeth Warren urged him to avoid meetings with companies linked to China’s military or intelligence bodies, as well as firms placed on the US restricted export list. “We are worried that your trip to the PRC could legitimize companies that cooperate closely with the Chinese military or involve discussing exploitable gaps in US export controls,” the senators wrote, as quoted by Reuters. Growing US concerns over AI technology transfers The letter reflects Washington’s deepening fears that advanced American AI hardware could boost China’s military modernisation. Lawmakers across party lines have backed tighter restrictions on AI chip exports, worried about efforts to circumvent existing controls. As per Reuters, the senators said advanced AI hardware could “accelerate the PRC’s effort to modernize its military.” They also cited Nvidia’s new research facility in Shanghai as an example of the company’s growing footprint in China, suggesting such moves risk aiding Beijing’s strategic ambitions. US lawmakers have proposed new legislation that would require AI chip makers to verify where their products ultimately end up, aiming to close loopholes that might enable transfers to Chinese military or intelligence-linked users. Nvidia’s response and tightrope strategy In response, an Nvidia spokesperson defended the company’s approach, telling Reuters, “American wins when our technology sets the global standard.” The spokesperson added that China is home to one of the world’s largest software developer communities and argued that ensuring AI software runs best on American technology would encourage other nations to adopt US systems. The letter comes just weeks after Nvidia CEO Jensen Huang publicly praised President Donald Trump’s decision to ease certain AI chip export controls, calling prior restrictions a failure. Speaking at the Computex trade show in Taipei in May, Huang framed the partial rollback as a win for American competitiveness. But Reuters notes that even after those relaxations, US restrictions imposed in April on AI chips Nvidia designed to comply with earlier controls will still cut an estimated $15 billion from Nvidia’s revenue. A high-stakes balancing act Nvidia, the world’s most valuable chip company, has found itself at the centre of geopolitical tensions as the US tightens technology exports to China. Washington sees advanced AI hardware as a critical frontier, with bipartisan agreement that it must prevent China’s military from gaining access to cutting-edge systems. Reuters reported last month that a senior US official accused Chinese AI firm DeepSeek of supporting Beijing’s military and intelligence agencies while trying to dodge export controls through shell companies. Meanwhile, Nvidia has been working on launching a cheaper, export-compliant version of its flagship Blackwell AI chips for the Chinese market, according to Reuters reporting in May. Why it matters? The exchange between US lawmakers and Nvidia underscores the difficult balance American tech giants face. China is a vast market, but one increasingly off-limits for sensitive technologies under US national security policy. As the Biden administration continues Trump-era restrictions while refining them, companies like Nvidia must navigate a complex web of regulations, commercial interests, and geopolitical rivalries. For now, Huang’s trip to China has triggered a clear political warning from Washington: avoid any engagement that might undermine the hardening wall of US export controls.

US senators warn Nvidia CEO Jensen Huang against meeting China-linked firms, spotlighting rising tensions over AI tech exports and military ties.

US lawmakers caution Nvidia’s Huang on China visit

Nvidia became the first company to reach $4 trillion in market value on Wednesday, a new threshold in Wall Street's bet that artificial intelligence will transform the economy.Shortly after the stock market opened, Nvidia, which is led by electrical engineer Jensen Huang, vaulted as high as $164.42, giving it a valuation above $4 trillion before retreating slightly."The market has an incredible certainty that AI is the future," said Steve Sosnick of Interactive Brokers. “Nvidia is certainly the company most positioned to benefit from that gold rush.”Nvidia has now attained a market value greater than the GDP of France, Britain or India, a testament to investor confidence that AI will spur a new era of robotics and automation, potentially boosting productivity while also challenging incumbent sectors and companies.The California chip company's latest surge is helping to drive a recovery in the broader stock market, even as Nvidia itself outperforms major indices. Part of this is due to relief that President Donald Trump has walked back his most draconian tariffs, which pummeled global markets in early April.Even as Trump has announced new tariff actions in recent days, the S&amp;P 500 and Nasdaq have lingered near records."You've seen the markets walk us back from a worst-case scenario in terms of tariffs," said Angelo Zino, technology analyst at CFRA Research.While Nvidia still faces US export controls to China as well as broader tariff uncertainty, the company's deal to build AI infrastructure in Saudi Arabia during a Trump state visit in May showed there was also potential upside in Trump's trade policy."We've seen the administration using Nvidia chips as a bargaining chip," Zino said.<h2>Bullish on 2026</h2>Nvidia's latest surge to $4 trillion marks a new threshold in a fairly consistent rise over the last two years as AI enthusiasm has built.In 2025 so far, the company's shares have risen 20 percent, whereas the Nasdaq has gained six percent.The Taiwan-born Huang has wowed investors with a series of advances, including its core product: graphics processing units (GPUs), which are foundational to many of the generative AI programs pursued throughout the technology sector, with applications in autonomous driving, robotics and other cutting-edge domains.The company has also unveiled new advances in recent months, highlighting its Blackwell system, which Huang said in March will soon enable virtually all productions to be “created and brought to life long before it is realized physically.”However, Nvidia's winning streak was challenged early in 2025 following revelations about the Chinese DeepSeek venture, which prompted worries that AI investment growth would slow. The company lost some $600 billion in market valuation during this period.Nvidia's Huang has welcomed DeepSeek as a growing presence in technology, while arguing against US export constraints.In the most recent quarter, Nvidia reported earnings of nearly $19 billion despite a $4.5 billion hit from US export controls designed to limit sales of cutting-edge technology to China.The first-quarter earnings period also revealed that momentum for AI remained strong throughout the tech industry. Many of the biggest technology companies -- Microsoft, Google, Amazon and Meta -- are racing each other in the multi-billion-dollar race to win the AI race.A recent UBS survey of technology executives showed Nvidia widening its lead over rivals.Zino said Nvidia's latest surge reflected a fuller understanding of DeepSeek, which has acted as a stimulant to investment for complex reasoning models rather than a threat to Nvidia's business.Nvidia is at the forefront of "AI agents," the current focus in generative AI in which machines are able to reason and infer more than in the past, he said."Overall the demand landscape has improved for 2026 for these more complex reasoning models," Zino said.

Shortly after the stock market opened, Nvidia, which is led by electrical engineer Jensen Huang, vaulted as high as $164.42, giving it a valuation above $4 trillion before retreating slightly.

Nvidia became the first company to reach $4 trillion in market value on Wednesday, a new threshold in Wall Street's bet that artificial intelligence will transform the economy. Shortly after the stock market opened, Nvidia, which is led by electrical engineer Jensen Huang, vaulted as high as $164.42, giving it a valuation above $4 trillion before retreating slightly. "The market has an incredible certainty that AI is the future," said Steve Sosnick of Interactive Brokers. “Nvidia is certainly the company most positioned to benefit from that gold rush.” Nvidia has now attained a market value greater than the GDP of France, Britain or India, a testament to investor confidence that AI will spur a new era of robotics and automation, potentially boosting productivity while also challenging incumbent sectors and companies. The California chip company's latest surge is helping to drive a recovery in the broader stock market, even as Nvidia itself outperforms major indices. Part of this is due to relief that President Donald Trump has walked back his most draconian tariffs, which pummeled global markets in early April. Even as Trump has announced new tariff actions in recent days, the S&P 500 and Nasdaq have lingered near records. "You've seen the markets walk us back from a worst-case scenario in terms of tariffs," said Angelo Zino, technology analyst at CFRA Research. While Nvidia still faces US export controls to China as well as broader tariff uncertainty, the company's deal to build AI infrastructure in Saudi Arabia during a Trump state visit in May showed there was also potential upside in Trump's trade policy. "We've seen the administration using Nvidia chips as a bargaining chip," Zino said. Bullish on 2026 Nvidia's latest surge to $4 trillion marks a new threshold in a fairly consistent rise over the last two years as AI enthusiasm has built. In 2025 so far, the company's shares have risen 20 percent, whereas the Nasdaq has gained six percent. The Taiwan-born Huang has wowed investors with a series of advances, including its core product: graphics processing units (GPUs), which are foundational to many of the generative AI programs pursued throughout the technology sector, with applications in autonomous driving, robotics and other cutting-edge domains. The company has also unveiled new advances in recent months, highlighting its Blackwell system, which Huang said in March will soon enable virtually all productions to be “created and brought to life long before it is realized physically.” However, Nvidia's winning streak was challenged early in 2025 following revelations about the Chinese DeepSeek venture, which prompted worries that AI investment growth would slow. The company lost some $600 billion in market valuation during this period. Nvidia's Huang has welcomed DeepSeek as a growing presence in technology, while arguing against US export constraints. In the most recent quarter, Nvidia reported earnings of nearly $19 billion despite a $4.5 billion hit from US export controls designed to limit sales of cutting-edge technology to China. The first-quarter earnings period also revealed that momentum for AI remained strong throughout the tech industry. Many of the biggest technology companies -- Microsoft, Google, Amazon and Meta -- are racing each other in the multi-billion-dollar race to win the AI race. A recent UBS survey of technology executives showed Nvidia widening its lead over rivals. Zino said Nvidia's latest surge reflected a fuller understanding of DeepSeek, which has acted as a stimulant to investment for complex reasoning models rather than a threat to Nvidia's business. Nvidia is at the forefront of "AI agents," the current focus in generative AI in which machines are able to reason and infer more than in the past, he said. "Overall the demand landscape has improved for 2026 for these more complex reasoning models," Zino said.

Shortly after the stock market opened, Nvidia, which is led by electrical engineer Jensen Huang, vaulted as high as $164.42, giving it a valuation above $4 trillion before retreating slightly.

Nvidia becomes first company to hit $4 trillion market value: How AI turned a chipmaker into Wall Street’s biggest winner

Insiders at Nvidia have sold more than $1 billion worth of shares over the past 12 months, with over $500 million worth of stock sales taking place in June alone, according to a report by the Financial Times. The surge in insider trading comes as Nvidia’s stock price soared to record highs, driven by global enthusiasm for artificial intelligence (AI) technologies and the massive demand for high-performance chips. The California-based chipmaking company briefly became the world’s most valuable company last week, buoyed by optimism over AI infrastructure spending by governments and private companies. Nvidia’s market capitalisation has skyrocketed to $3.8 trillion, quadrupling in just a few years.Nvidia CEO Jensen Huang began selling shares this week for the first time since September, the FT reported, citing filings with the US Securities and Exchange Commission (SEC). The sales are part of a pre-arranged trading plan filed in March that only became active following a 90-day mandatory cooling-off period.According to VerityData, which tracks insider transactions, the surge in Nvidia’s share price above $150 triggered Huang’s sales. Under the current trading plan, he can sell up to six million shares by the end of 2025, potentially earning over $900 million at current market prices. Despite these sales, Huang still retains the vast majority of his Nvidia holdings. His estimated net worth now stands at $138 billion, according to Forbes.<h2>Board members and executives also cash in</h2>Several senior figures at Nvidia have also taken advantage of the stock’s dramatic rise. Mark Stevens, a long-time board member and early investor through Sequoia Capital, has announced plans to sell up to four million shares, worth approximately $550 million, and has already sold $288 million.Jay Puri, Nvidia’s executive VP of worldwide field operations and a key envoy for China relations, sold about $25 million in shares this week. Other board members, including Tench Coxe and Brooke Seawell, have also moved to liquidate portions of their holdings, with Coxe selling around $143 million and Seawell about $48 million.The share sales follow a steep rebound in Nvidia’s stock price, which has jumped more than 60 per cent from their closing low on April 4. The stock had dipped earlier this year amid concerns about new US export restrictions on AI chips and competitive threats from Chinese firms like DeepSeek.Analysts say the stock’s rally is driven by renewed optimism that the AI “gold rush” is far from over. As investors continue to pile into the AI trade, Nvidia’s insiders appear to be cashing in, strategically and legally, on their long-held stakes.

Nvidia CEO Jensen Huang and many senior executives cash in as the chipmaker's stock hits record high. Nvidia’s market capitalisation has skyrocketed to $3.8 trillion, quadrupling in just a few years.

Insiders at Nvidia have sold more than $1 billion worth of shares over the past 12 months, with over $500 million worth of stock sales taking place in June alone, according to a report by the Financial Times. The surge in insider trading comes as Nvidia’s stock price soared to record highs, driven by global enthusiasm for artificial intelligence (AI) technologies and the massive demand for high-performance chips. The California-based chipmaking company briefly became the world’s most valuable company last week, buoyed by optimism over AI infrastructure spending by governments and private companies. Nvidia’s market capitalisation has skyrocketed to $3.8 trillion, quadrupling in just a few years. Nvidia CEO Jensen Huang began selling shares this week for the first time since September, the FT reported, citing filings with the US Securities and Exchange Commission (SEC). The sales are part of a pre-arranged trading plan filed in March that only became active following a 90-day mandatory cooling-off period. According to VerityData, which tracks insider transactions, the surge in Nvidia’s share price above $150 triggered Huang’s sales. Under the current trading plan, he can sell up to six million shares by the end of 2025, potentially earning over $900 million at current market prices. Despite these sales, Huang still retains the vast majority of his Nvidia holdings. His estimated net worth now stands at $138 billion, according to Forbes. Board members and executives also cash in Several senior figures at Nvidia have also taken advantage of the stock’s dramatic rise. Mark Stevens, a long-time board member and early investor through Sequoia Capital, has announced plans to sell up to four million shares, worth approximately $550 million, and has already sold $288 million. Jay Puri, Nvidia’s executive VP of worldwide field operations and a key envoy for China relations, sold about $25 million in shares this week. Other board members, including Tench Coxe and Brooke Seawell, have also moved to liquidate portions of their holdings, with Coxe selling around $143 million and Seawell about $48 million. The share sales follow a steep rebound in Nvidia’s stock price, which has jumped more than 60 per cent from their closing low on April 4. The stock had dipped earlier this year amid concerns about new US export restrictions on AI chips and competitive threats from Chinese firms like DeepSeek. Analysts say the stock’s rally is driven by renewed optimism that the AI “gold rush” is far from over. As investors continue to pile into the AI trade, Nvidia’s insiders appear to be cashing in, strategically and legally, on their long-held stakes.

Nvidia CEO Jensen Huang and many senior executives cash in as the chipmaker's stock hits record high. Nvidia’s market capitalisation has skyrocketed to $3.8 trillion, quadrupling in just a few years.

Nvidia insiders sell over $1 billion in shares amid AI boom

Nvidia surged to a record high on Wednesday, becoming the world’s most valuable company once again, as investor optimism over the next phase of artificial intelligence (AI) adoption drove a fresh rally in the US tech sector. The chipmaker’s stock jumped over 4 per cent to close at $154.10, pushing its market capitalisation to $3.76 trillion, surpassing Microsoft’s $3.65 trillion valuation.&nbsp;&nbsp;This marks another milestone for the California-based semiconductor giant, which is at the centre of the global AI boom.<h2>Analyst backs ‘Golden Wave’ of Gen AI</h2>The latest surge in Nvidia’s stock followed a bullish research note by Loop Capital, which raised its price target on the company from $175 to $250, citing stronger-than-expected demand for generative AI. “Our work suggests we are entering the next ‘Golden Wave’ of Gen AI adoption and Nvidia is at the front-end of another material leg of stronger-than-anticipated demand,” said Ananda Baruah, analyst at Loop Capital, as quoted by Reuters.&nbsp;Nvidia is widely seen as the global leader in AI chips used to train and run large language models (LLMs), and has become a bellwether for investor sentiment in the rapidly evolving AI ecosystem.<h2>Market rotation back to AI trade</h2>Nvidia’s rally comes as the broader US stock market returns to the AI-driven trade that dominated headlines last year. The S&amp;P 500 technology index climbed 0.9 per cent to a new all-time high on Wednesday and is now up nearly 6 per cent in 2025. The company has seen a 60 per cent rebound from its April lows, when US markets were rattled by President Donald Trump’s global tariff announcements. Since then, investor confidence has returned on expectations that the White House will negotiate trade deals to soften the blow of new tariffs.&nbsp;Despite its eye-popping valuation, Nvidia is currently trading at around 30 times forward earnings, according to LSEG data. That’s actually below its five-year average of 40—reflecting the fact that analysts have consistently raised their earnings forecasts even faster than the stock has appreciated.<h2>Tech titans continue value race</h2>Nvidia’s re-ascent to the top of the market cap leaderboard reflects an ongoing tug-of-war among the “Big Three” tech giants, Nvidia, Microsoft, and Apple. The three have rotated positions as the world’s most valuable publicly listed companies over the past year.&nbsp;Microsoft had briefly reclaimed the lead in early June, following strong enterprise cloud performance. Meanwhile, Apple’s stock edged up 0.4 per cent on Wednesday, putting its valuation at approximately $3.0 trillion. With investors betting big on next-generation AI models, chipmakers like Nvidia remain central to the market narrative, bridging innovation in hardware, cloud computing, and software platforms.<h2>What's next?&nbsp;</h2>As global adoption of AI tools accelerates, from consumer applications to enterprise automation, Nvidia appears poised to remain the foundational infrastructure provider. Analysts now see the company not just as a chipmaker, but as a strategic enabler of the AI economy, drawing comparisons to what Microsoft was for software in the 1990s.&nbsp;With generative AI poised to reshape global productivity and geopolitics, Nvidia’s performance may continue to serve as a barometer for where the AI-driven economy is headed next.&nbsp;(With inputs from the agencies)&nbsp;

Driven by soaring Gen AI demand and bullish forecasts, Nvidia hits record valuation of $3.76 trillion, edging past Microsoft in the Big Tech value race.

Nvidia surged to a record high on Wednesday, becoming the world’s most valuable company once again, as investor optimism over the next phase of artificial intelligence (AI) adoption drove a fresh rally in the US tech sector. The chipmaker’s stock jumped over 4 per cent to close at $154.10, pushing its market capitalisation to $3.76 trillion, surpassing Microsoft’s $3.65 trillion valuation. This marks another milestone for the California-based semiconductor giant, which is at the centre of the global AI boom. Analyst backs ‘Golden Wave’ of Gen AI The latest surge in Nvidia’s stock followed a bullish research note by Loop Capital, which raised its price target on the company from $175 to $250, citing stronger-than-expected demand for generative AI. “Our work suggests we are entering the next ‘Golden Wave’ of Gen AI adoption and Nvidia is at the front-end of another material leg of stronger-than-anticipated demand,” said Ananda Baruah, analyst at Loop Capital, as quoted by Reuters. Nvidia is widely seen as the global leader in AI chips used to train and run large language models (LLMs), and has become a bellwether for investor sentiment in the rapidly evolving AI ecosystem. Market rotation back to AI trade Nvidia’s rally comes as the broader US stock market returns to the AI-driven trade that dominated headlines last year. The S&P 500 technology index climbed 0.9 per cent to a new all-time high on Wednesday and is now up nearly 6 per cent in 2025. The company has seen a 60 per cent rebound from its April lows, when US markets were rattled by President Donald Trump’s global tariff announcements. Since then, investor confidence has returned on expectations that the White House will negotiate trade deals to soften the blow of new tariffs. Despite its eye-popping valuation, Nvidia is currently trading at around 30 times forward earnings, according to LSEG data. That’s actually below its five-year average of 40—reflecting the fact that analysts have consistently raised their earnings forecasts even faster than the stock has appreciated. Tech titans continue value race Nvidia’s re-ascent to the top of the market cap leaderboard reflects an ongoing tug-of-war among the “Big Three” tech giants, Nvidia, Microsoft, and Apple. The three have rotated positions as the world’s most valuable publicly listed companies over the past year. Microsoft had briefly reclaimed the lead in early June, following strong enterprise cloud performance. Meanwhile, Apple’s stock edged up 0.4 per cent on Wednesday, putting its valuation at approximately $3.0 trillion. With investors betting big on next-generation AI models, chipmakers like Nvidia remain central to the market narrative, bridging innovation in hardware, cloud computing, and software platforms. What's next? As global adoption of AI tools accelerates, from consumer applications to enterprise automation, Nvidia appears poised to remain the foundational infrastructure provider. Analysts now see the company not just as a chipmaker, but as a strategic enabler of the AI economy, drawing comparisons to what Microsoft was for software in the 1990s. With generative AI poised to reshape global productivity and geopolitics, Nvidia’s performance may continue to serve as a barometer for where the AI-driven economy is headed next. (With inputs from the agencies)

As Wall Street rotates back to the AI trade, Nvidia’s rally signals renewed investor confidence in Gen AI's next growth wave and tech sector dominance.

Nvidia hits all-time high as analyst predicts AI-driven ‘Golden Wave’

Nvidia Corp. chief executive Jensen Huang has begun selling shares in the chipmaking company as part of a pre-arranged $865 million stock disposal plan, according to filings released June 23 by the US Securities and Exchange Commission (SEC) according to a release by Bloomberg. Huang sold 100,000 shares over two trading sessions on June 20 and June 23, generating proceeds of approximately $14.4 million. The transactions mark the first under a Rule 10b5-1 trading plan adopted in March 2025 and disclosed in the company’s recent quarterly report.&nbsp;The plan allows Huang to gradually sell up to 6 million shares of Nvidia by the end of the year, which would be valued at $865 million on June 23’s closing price of $144.17. Rule 10b5-1 plans are commonly used by executives and major shareholders to sell stock in a structured manner that avoids allegations of insider trading or disrupting market sentiment. Huang, who remains the company’s largest individual shareholder, still holds over 900 million shares, equivalent to nearly 4 per cent of Nvidia’s outstanding stock. His planned sale represents less than 1 per cent of his holdings.<h2>Nvidia stock surge drives billionaire fortunes</h2>Huang’s wealth, estimated at $126 billion by the Bloomberg Billionaires Index, is largely tied to Nvidia stock, which has soared in value over the past two years amid a surge in demand for the company’s advanced AI chips. Nvidia has become a critical supplier to major tech firms as artificial intelligence deployment accelerates globally.Huang is not the only insider cashing in. Nvidia board member Mark Stevens sold more than 600,000 shares worth $88 million on June 18, filings show. Stevens, who is not operating under a 10b5-1 plan, had previously filed to sell up to 4 million shares, and has already sold over 2 million. His net worth is pegged at $9.8 billion.Despite the insider sales, investor confidence in Nvidia remains high. The company has retained strong momentum in the AI sector, and Huang has shown no signs of slowing Nvidia’s push in the space.

Jensen Huang sold 100,000 shares over two trading sessions on June 20 and June 23, generating proceeds of approximately $14.4 million.

Nvidia Corp. chief executive Jensen Huang has begun selling shares in the chipmaking company as part of a pre-arranged $865 million stock disposal plan, according to filings released June 23 by the US Securities and Exchange Commission (SEC) according to a release by Bloomberg. Huang sold 100,000 shares over two trading sessions on June 20 and June 23, generating proceeds of approximately $14.4 million. The transactions mark the first under a Rule 10b5-1 trading plan adopted in March 2025 and disclosed in the company’s recent quarterly report. The plan allows Huang to gradually sell up to 6 million shares of Nvidia by the end of the year, which would be valued at $865 million on June 23’s closing price of $144.17. Rule 10b5-1 plans are commonly used by executives and major shareholders to sell stock in a structured manner that avoids allegations of insider trading or disrupting market sentiment. Huang, who remains the company’s largest individual shareholder, still holds over 900 million shares, equivalent to nearly 4 per cent of Nvidia’s outstanding stock. His planned sale represents less than 1 per cent of his holdings. Nvidia stock surge drives billionaire fortunes Huang’s wealth, estimated at $126 billion by the Bloomberg Billionaires Index, is largely tied to Nvidia stock, which has soared in value over the past two years amid a surge in demand for the company’s advanced AI chips. Nvidia has become a critical supplier to major tech firms as artificial intelligence deployment accelerates globally. Huang is not the only insider cashing in. Nvidia board member Mark Stevens sold more than 600,000 shares worth $88 million on June 18, filings show. Stevens, who is not operating under a 10b5-1 plan, had previously filed to sell up to 4 million shares, and has already sold over 2 million. His net worth is pegged at $9.8 billion. Despite the insider sales, investor confidence in Nvidia remains high. The company has retained strong momentum in the AI sector, and Huang has shown no signs of slowing Nvidia’s push in the space.

Jensen Huang sold 100,000 shares over two trading sessions on June 20 and June 23, generating proceeds of approximately $14.4 million.

Nvidia CEO begins selling shares under $865 million trading plan

Andhra Pradesh signs MoU with Nvidia to build AI ecosystem. 10,000 students to receive training under new AI partnership. The Andhra Pradesh government has signed a Memorandum of Understanding (MoU) with Nvidia, a leading American technology company, to boost the state’s artificial intelligence (AI) ecosystem. Chief Minister N. Chandrababu Naidu confirmed this on X this Saturday, calling it a major step in preparing youth and startups for an AI-driven future.&nbsp;As part of the agreement, 10,000 engineering students in the state will be trained in AI over the next two years. Nvidia will support the state by helping develop curriculum and providing training resources.&nbsp;In a statement shared on X, CM Naidu said the collaboration will “build a strong and inclusive AI ecosystem” in Andhra Pradesh. The initiative is being led by the state’s IT Minister, Nara Lokesh.<h2>Support for startups and AI university&nbsp;</h2>The MoU will also give 500 AI startups in Andhra Pradesh access to Nvidia’s Inception Program. This programme helps startups scale through exposure to key tools, mentorship, and international networks.&nbsp;Looking ahead, the Andhra Pradesh government is planning to establish India’s first AI University in partnership with Nvidia. The university will focus on high-level AI research, skill development, and building advanced AI infrastructure. CM Naidu called it a key step in building a “Swarna Andhra Pradesh”, referring to a vision of a progressive and tech-forward state.<h2>Quantum Computing Village to boost innovation</h2>In addition to the AI MoU, the state has already announced plans to develop India’s first Quantum Computing Village in Amaravati. Spread across 50 acres, the facility will serve as a collaborative zone for institutions and companies to work on quantum computing research and innovation.&nbsp;The government aims to make Andhra Pradesh a leading hub for emerging technologies, supporting both domestic and global players in building scalable tech solutions.&nbsp;This latest partnership with Nvidia places Andhra Pradesh among the frontrunners in India’s AI adoption.

<blockquote class="twitter-tweet">Andhra Pradesh is welcoming bold initiatives to lead India’s AI revolution. Under the leadership of Hon&#39;ble IT Minister Shri <a href="https://twitter.com/naralokesh?ref_src=twsrc%5Etfw">@naralokesh</a> Garu, we have entered into an MoU with <a href="https://twitter.com/nvidia?ref_src=twsrc%5Etfw">@nvidia</a> to build a strong and inclusive AI ecosystem in the state. With support from NVIDIA for… <a href="https://t.co/T7G3lEvMn8">pic.twitter.com/T7G3lEvMn8</a>&mdash; N Chandrababu Naidu (@ncbn) <a href="https://twitter.com/ncbn/status/1931228810042847348?ref_src=twsrc%5Etfw">June 7, 2025</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

Andhra Pradesh signs an MoU with Nvidia to build an AI ecosystem. 10,000 students will be trained, 500 startups supported, and plans for India’s first AI university and quantum computing village are underway, boosting tech innovation in the state.


Andhra Pradesh signs MoU with Nvidia to build AI ecosystem. 10,000 students to receive training under new AI partnership. The Andhra Pradesh government has signed a Memorandum of Understanding (MoU) with Nvidia, a leading American technology company, to boost the state’s artificial intelligence (AI) ecosystem. Chief Minister N. Chandrababu Naidu confirmed this on X this Saturday, calling it a major step in preparing youth and startups for an AI-driven future. As part of the agreement, 10,000 engineering students in the state will be trained in AI over the next two years. Nvidia will support the state by helping develop curriculum and providing training resources. In a statement shared on X, CM Naidu said the collaboration will “build a strong and inclusive AI ecosystem” in Andhra Pradesh. The initiative is being led by the state’s IT Minister, Nara Lokesh. Support for startups and AI university The MoU will also give 500 AI startups in Andhra Pradesh access to Nvidia’s Inception Program. This programme helps startups scale through exposure to key tools, mentorship, and international networks. Looking ahead, the Andhra Pradesh government is planning to establish India’s first AI University in partnership with Nvidia. The university will focus on high-level AI research, skill development, and building advanced AI infrastructure. CM Naidu called it a key step in building a “Swarna Andhra Pradesh”, referring to a vision of a progressive and tech-forward state. Quantum Computing Village to boost innovation In addition to the AI MoU, the state has already announced plans to develop India’s first Quantum Computing Village in Amaravati. Spread across 50 acres, the facility will serve as a collaborative zone for institutions and companies to work on quantum computing research and innovation. The government aims to make Andhra Pradesh a leading hub for emerging technologies, supporting both domestic and global players in building scalable tech solutions. This latest partnership with Nvidia places Andhra Pradesh among the frontrunners in India’s AI adoption.

Andhra Pradesh signs an MoU with Nvidia to build an AI ecosystem. 10,000 students will be trained, 500 startups supported, and plans for India’s first AI university and quantum computing village are underway, boosting tech innovation in the state.

Andhra Pradesh signs MoU with NVIDIA to build India’s first AI university

Nvidia’s first-quarter earnings for fiscal year 2026 have shattered records, with the company posting a remarkable 69 per cent year-on-year revenue growth to $44.1 billion. The impressive performance was largely driven by a booming data centre business, which saw a 73 per cent rise in sales compared to the same quarter last year.However, the quarter was not without its challenges, as Nvidia incurred a significant $4.5 billion charge due to the export restrictions on its H20 products for the China market.The standout performer in Nvidia’s earnings report was its data centre division, which recorded a massive $39.1 billion in revenue, representing 88 per cent of the company's total revenue. The demand for Nvidia’s artificial intelligence (AI) chips, especially for large cloud providers and AI supercomputing, continues to surge.The company also announced that Microsoft has deployed tens of thousands of Nvidia's Blackwell GPUs, with plans to increase that number to hundreds of thousands, thanks to their partnership with OpenAI.Nvidia’s AI infrastructure products, including the breakthrough Blackwell NVL72 AI supercomputer, have seen explosive growth. “AI inference token generation has surged tenfold in just one year,” said Nvidia CEO Jensen Huang during the company’s earnings call.As AI agents become more mainstream, Huang emphasised that the demand for AI computing will continue to accelerate, positioning Nvidia at the centre of this transformative technology shift. “Countries around the world are recognising AI as essential infrastructure—just like electricity and the internet,” he added.Despite the soaring demand for Nvidia’s cutting-edge AI chips, the company was hit with a significant setback during the quarter. On April 9, 2025, the US government informed Nvidia that a licence would be required for the export of its H20 products to China.This unexpected change in the trade policy forced Nvidia to absorb a $4.5 billion charge in the first quarter of the current fiscal year, related to excess inventory and purchase obligations. As a result, Nvidia was unable to ship an additional $2.5 billion in H2O-related sales.These export restrictions have serious implications for Nvidia, with Huang stating that the $50 billion AI chip market in China is effectively closed to US industry. The firm’s H20 processor, which had previously been approved for export to China, had been a major contributor to Nvidia’s data centre business, and the export ban has effectively ended its Hopper data centre business in China.&nbsp;Strong performance despite setbacks&nbsp;Nvidia's first-quarter net income rose by 26 per cent, reaching $18.8 billion, or $0.76 per share, up from $14.9 billion in the previous year. On an adjusted basis, earnings per share (EPS) were $0.96, beating analysts’ expectations of $0.93.In afterhours trading on Wall Street, Nvidia share price jumped as much as 6 per cent after the chip maker posted record-breaking revenue. Its stock climbed to $142.22 apiece on Nasdaq in afterhours trading, against previous close at $135.50.The company's gross margin was reported at 60.5 per cent on a GAAP basis and 61.0 per cent on a non-GAAP basis. Excluding the $4.5 billion charge, non-GAAP gross margin would have been a staggering 71.3 per cent.The company’s gaming division, which includes chips for 3D gaming, also showed strong growth, with revenue rising 42 per cent year-on-year to $3.8 billion. Notably, Nvidia’s chips now power the Nintendo Switch 2, a new console that integrates AI-powered DLSS technology for up to 4K gaming. Nvidia’s graphics technology, once primarily used for gaming, is now being utilised in AI applications, further highlighting the expanding reach of its chips.In addition, Nvidia’s automotive and robotics business saw a 72 per cent increase in revenue, totalling $567 million. The division's growth was driven by increased demand for self-driving car chips and robotics software, including the company’s breakthrough in humanoid robotics.Nvidia had also introduced its Isaac GR00T N1, the world’s first open humanoid robot foundation model, and announced plans to expand its role in robotics development.Nvidia’s professional visualisation division, which provides chips for 3D design and AI-powered design workstations, reported a 19 per cent increase in revenue to $509 million.&nbsp;Guidance and expansion plans&nbsp;Looking ahead, Nvidia expects revenue for the second quarter of fiscal 2026 to be around $45 billion, give or take 2 per cent, with a substantial $8 billion in lost sales due to the H20 export restrictions. Despite the loss of the China market, Nvidia remains optimistic about the future of its AI infrastructure and the continued global demand for its products.Gross margins are projected to be in the range of 71.8 per cent to 72.0 per cent, with Nvidia targeting mid-70 per cent margins later in the year as it continues to scale its AI offerings.Nvidia is also focused on expanding its global presence. The company recently unveiled plans to build AI factories in the US and Saudi Arabia, as well as launching the Stargate UAE AI infrastructure cluster in Abu Dhabi.The firm has also expanded partnerships with major tech giants such as Oracle, Google, and Microsoft, and its Blackwell cloud instances are now available on AWS, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure.While the export restrictions are a significant hurdle for Nvidia, the company remains well-positioned at the forefront of the AI revolution. As countries worldwide increasingly view AI as essential infrastructure, Nvidia’s leadership in AI computing, combined with its expanding global footprint, positions the company for continued success in the coming years.In the meantime, Nvidia continues to focus on delivering innovative products and expanding its partnerships to meet the surging demand for AI chips and infrastructure, with eyes on the future growth of AI technologies across the globe.

Nvidia expects revenue for the second quarter of fiscal 2026 to be around $45 billion, with a substantial $8 billion in lost sales due to the H20 export restrictions.

Nvidia’s first-quarter earnings for fiscal year 2026 have shattered records, with the company posting a remarkable 69 per cent year-on-year revenue growth to $44.1 billion. The impressive performance was largely driven by a booming data centre business, which saw a 73 per cent rise in sales compared to the same quarter last year. However, the quarter was not without its challenges, as Nvidia incurred a significant $4.5 billion charge due to the export restrictions on its H20 products for the China market. The standout performer in Nvidia’s earnings report was its data centre division, which recorded a massive $39.1 billion in revenue, representing 88 per cent of the company's total revenue. The demand for Nvidia’s artificial intelligence (AI) chips, especially for large cloud providers and AI supercomputing, continues to surge. The company also announced that Microsoft has deployed tens of thousands of Nvidia's Blackwell GPUs, with plans to increase that number to hundreds of thousands, thanks to their partnership with OpenAI. Nvidia’s AI infrastructure products, including the breakthrough Blackwell NVL72 AI supercomputer, have seen explosive growth. “AI inference token generation has surged tenfold in just one year,” said Nvidia CEO Jensen Huang during the company’s earnings call. As AI agents become more mainstream, Huang emphasised that the demand for AI computing will continue to accelerate, positioning Nvidia at the centre of this transformative technology shift. “Countries around the world are recognising AI as essential infrastructure—just like electricity and the internet,” he added. Despite the soaring demand for Nvidia’s cutting-edge AI chips, the company was hit with a significant setback during the quarter. On April 9, 2025, the US government informed Nvidia that a licence would be required for the export of its H20 products to China. This unexpected change in the trade policy forced Nvidia to absorb a $4.5 billion charge in the first quarter of the current fiscal year, related to excess inventory and purchase obligations. As a result, Nvidia was unable to ship an additional $2.5 billion in H2O-related sales. These export restrictions have serious implications for Nvidia, with Huang stating that the $50 billion AI chip market in China is effectively closed to US industry. The firm’s H20 processor, which had previously been approved for export to China, had been a major contributor to Nvidia’s data centre business, and the export ban has effectively ended its Hopper data centre business in China. Strong performance despite setbacks Nvidia's first-quarter net income rose by 26 per cent, reaching $18.8 billion, or $0.76 per share, up from $14.9 billion in the previous year. On an adjusted basis, earnings per share (EPS) were $0.96, beating analysts’ expectations of $0.93. In afterhours trading on Wall Street, Nvidia share price jumped as much as 6 per cent after the chip maker posted record-breaking revenue. Its stock climbed to $142.22 apiece on Nasdaq in afterhours trading, against previous close at $135.50. The company's gross margin was reported at 60.5 per cent on a GAAP basis and 61.0 per cent on a non-GAAP basis. Excluding the $4.5 billion charge, non-GAAP gross margin would have been a staggering 71.3 per cent. The company’s gaming division, which includes chips for 3D gaming, also showed strong growth, with revenue rising 42 per cent year-on-year to $3.8 billion. Notably, Nvidia’s chips now power the Nintendo Switch 2, a new console that integrates AI-powered DLSS technology for up to 4K gaming. Nvidia’s graphics technology, once primarily used for gaming, is now being utilised in AI applications, further highlighting the expanding reach of its chips. In addition, Nvidia’s automotive and robotics business saw a 72 per cent increase in revenue, totalling $567 million. The division's growth was driven by increased demand for self-driving car chips and robotics software, including the company’s breakthrough in humanoid robotics. Nvidia had also introduced its Isaac GR00T N1, the world’s first open humanoid robot foundation model, and announced plans to expand its role in robotics development. Nvidia’s professional visualisation division, which provides chips for 3D design and AI-powered design workstations, reported a 19 per cent increase in revenue to $509 million. Guidance and expansion plans Looking ahead, Nvidia expects revenue for the second quarter of fiscal 2026 to be around $45 billion, give or take 2 per cent, with a substantial $8 billion in lost sales due to the H20 export restrictions. Despite the loss of the China market, Nvidia remains optimistic about the future of its AI infrastructure and the continued global demand for its products. Gross margins are projected to be in the range of 71.8 per cent to 72.0 per cent, with Nvidia targeting mid-70 per cent margins later in the year as it continues to scale its AI offerings. Nvidia is also focused on expanding its global presence. The company recently unveiled plans to build AI factories in the US and Saudi Arabia, as well as launching the Stargate UAE AI infrastructure cluster in Abu Dhabi. The firm has also expanded partnerships with major tech giants such as Oracle, Google, and Microsoft, and its Blackwell cloud instances are now available on AWS, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure. While the export restrictions are a significant hurdle for Nvidia, the company remains well-positioned at the forefront of the AI revolution. As countries worldwide increasingly view AI as essential infrastructure, Nvidia’s leadership in AI computing, combined with its expanding global footprint, positions the company for continued success in the coming years. In the meantime, Nvidia continues to focus on delivering innovative products and expanding its partnerships to meet the surging demand for AI chips and infrastructure, with eyes on the future growth of AI technologies across the globe.

Nvidia expects revenue for the second quarter of fiscal 2026 to be around $45 billion, with a substantial $8 billion in lost sales due to the H20 export restrictions.

Data centres drive Nvidia’s $44 billion revenue despite setback from China export restrictions

In a dramatic shift that could redefine global access to artificial intelligence (AI) hardware, the United States has formally scrapped an export control measure known as the &ldquo;AI diffusion rule&rdquo;.
&nbsp;
The decision made by the Trump administration paves the way for allied nations such as India and Saudi Arabia to access cutting-edge American AI chips without facing the quotas and restrictions proposed under the previous administration.
&nbsp;
The move is seen as a strategic recalibration in Washington&rsquo;s approach to AI governance&mdash;one that seeks to bolster partnerships, protect US innovation, and isolate adversaries like China without alienating friendly nations.
&nbsp;
<h2>Policy reversal</h2>
&nbsp;
In the AI diffusion rule, issued on January 15, 2025, with compliance requirements that were set to come into effect on May 15, 2022, the Biden administration had proposed a tiered framework for the export of advanced computing semiconductors.
&nbsp;
Designed to curb the indirect flow of chips to China through third-party countries, the rule categorised global nations into three tiers. While tier-one allies like Japan and South Korea faced minimal constraints, tier-two countries such as India, Mexico, and Portugal were subject to chip quotas. Nations deemed adversarial faced outright bans.
&nbsp;
Though the policy never officially took effect, it had already sparked concern among governments and tech firms globally. Critics warned that the sweeping nature of the rule risked damaging diplomatic relationships, stifling AI development in friendly nations, and pushing them toward rival suppliers, including Chinese chipmakers.
&nbsp;
According to a Reuters report, David Sacks, the newly appointed White House AI and crypto head, confirmed the reversal while addressing the Saudi-US Investment Forum in Riyadh. &ldquo;The Trump administration has just announced that we will be rescinding what&rsquo;s known as the Biden diffusion rule,&rdquo; Sacks said. &ldquo;It literally restricted the diffusion or proliferation of American technology all over the world.&rdquo;
&nbsp;
Sacks emphasised that the intention was never to alienate allies like Saudi Arabia or India and that the policy had been widely misunderstood. &ldquo;Diffusion is not a risk with a friend like Saudi Arabia,&rdquo; he added, noting that the administration would now pursue a more inclusive, trust-based export framework.
&nbsp;
<h2>Strengthening alliances</h2>
&nbsp;
Commerce Under Secretary Jeffrey Kessler echoed Sacks&rsquo; sentiments, characterising the previous rule as "ill-conceived and counterproductive". He outlined the new administration's philosophy: to foster innovation and deepen technology partnerships with like-minded nations.
&nbsp;
&ldquo;We reject the Biden Administration's attempt to impose its own ill-conceived and counterproductive AI policies on the American people,&rdquo; Kessler said. &ldquo;The Trump Administration will pursue a bold, inclusive strategy to share American AI technology with trusted foreign countries around the world while keeping the technology out of the hands of our adversaries.&rdquo;
&nbsp;
The revised approach has already started reshaping the global AI supply chain. In a major development, Nvidia recently signed a deal with Saudi Arabia&rsquo;s AI startup Humain, backed by the country&rsquo;s sovereign wealth fund. As part of the agreement, 18,000 of Nvidia&rsquo;s latest Blackwell GB300 chips will be delivered to Saudi Arabia to power a planned 500-megawatt data centre&mdash;a significant boost to the country's ambitions to become a global AI hub.
&nbsp;
India, another country expected to benefit significantly from the rollback, has been aggressively ramping up its AI infrastructure. While no formal deal has yet been announced, analysts believe the softened stance will unlock new opportunities for technology transfer and chip access, particularly for Indian startups and public initiatives seeking to leapfrog in the AI race.
&nbsp;
<h2>Balancing security and growth</h2>
&nbsp;
The Biden-era rule was part of a broader four-year effort to limit China&rsquo;s access to dual-use technologies that could enhance its military capabilities. It aimed to prevent backdoor channels by which American chips could end up in adversarial hands through transshipment or third-party nations.
&nbsp;
While that core objective remains unchanged under the Trump administration, officials say the new framework will rely more on targeted enforcement and less on blanket rules. The Commerce Department reiterated that export restrictions remain in place for China and other countries of concern. It specifically warned against the use of US-origin chips for training Chinese AI models or integrating them with Huawei&rsquo;s advanced Ascend processors.
&nbsp;
This approach seeks to balance the dual imperatives of national security and technological leadership. By allowing trusted nations greater access to US semiconductors, Washington hopes to maintain its dominance in AI development while reducing the incentive for global players to turn to Chinese alternatives.
&nbsp;
As the AI arms race heats up, the Trump administration's decision to scrap the diffusion rule may offer a crucial edge&mdash;enabling US chipmakers to build deeper ties with foreign partners and secure strategic footholds in fast-growing regions.

Business & Economy: The decision paves way for allied nations like India and Saudi Arabia to access cutting-edge American AI chips without facing quotas and restrictions

In a dramatic shift that could redefine global access to artificial intelligence (AI) hardware, the United States has formally scrapped an export control measure known as the “AI diffusion rule”. The decision made by the Trump administration paves the way for allied nations such as India and Saudi Arabia to access cutting-edge American AI chips without facing the quotas and restrictions proposed under the previous administration. The move is seen as a strategic recalibration in Washington’s approach to AI governance—one that seeks to bolster partnerships, protect US innovation, and isolate adversaries like China without alienating friendly nations. Policy reversal In the AI diffusion rule, issued on January 15, 2025, with compliance requirements that were set to come into effect on May 15, 2022, the Biden administration had proposed a tiered framework for the export of advanced computing semiconductors. Designed to curb the indirect flow of chips to China through third-party countries, the rule categorised global nations into three tiers. While tier-one allies like Japan and South Korea faced minimal constraints, tier-two countries such as India, Mexico, and Portugal were subject to chip quotas. Nations deemed adversarial faced outright bans. Though the policy never officially took effect, it had already sparked concern among governments and tech firms globally. Critics warned that the sweeping nature of the rule risked damaging diplomatic relationships, stifling AI development in friendly nations, and pushing them toward rival suppliers, including Chinese chipmakers. According to a Reuters report, David Sacks, the newly appointed White House AI and crypto head, confirmed the reversal while addressing the Saudi-US Investment Forum in Riyadh. “The Trump administration has just announced that we will be rescinding what’s known as the Biden diffusion rule,” Sacks said. “It literally restricted the diffusion or proliferation of American technology all over the world.” Sacks emphasised that the intention was never to alienate allies like Saudi Arabia or India and that the policy had been widely misunderstood. “Diffusion is not a risk with a friend like Saudi Arabia,” he added, noting that the administration would now pursue a more inclusive, trust-based export framework. Strengthening alliances Commerce Under Secretary Jeffrey Kessler echoed Sacks’ sentiments, characterising the previous rule as "ill-conceived and counterproductive". He outlined the new administration's philosophy: to foster innovation and deepen technology partnerships with like-minded nations. “We reject the Biden Administration's attempt to impose its own ill-conceived and counterproductive AI policies on the American people,” Kessler said. “The Trump Administration will pursue a bold, inclusive strategy to share American AI technology with trusted foreign countries around the world while keeping the technology out of the hands of our adversaries.” The revised approach has already started reshaping the global AI supply chain. In a major development, Nvidia recently signed a deal with Saudi Arabia’s AI startup Humain, backed by the country’s sovereign wealth fund. As part of the agreement, 18,000 of Nvidia’s latest Blackwell GB300 chips will be delivered to Saudi Arabia to power a planned 500-megawatt data centre—a significant boost to the country's ambitions to become a global AI hub. India, another country expected to benefit significantly from the rollback, has been aggressively ramping up its AI infrastructure. While no formal deal has yet been announced, analysts believe the softened stance will unlock new opportunities for technology transfer and chip access, particularly for Indian startups and public initiatives seeking to leapfrog in the AI race. Balancing security and growth The Biden-era rule was part of a broader four-year effort to limit China’s access to dual-use technologies that could enhance its military capabilities. It aimed to prevent backdoor channels by which American chips could end up in adversarial hands through transshipment or third-party nations. While that core objective remains unchanged under the Trump administration, officials say the new framework will rely more on targeted enforcement and less on blanket rules. The Commerce Department reiterated that export restrictions remain in place for China and other countries of concern. It specifically warned against the use of US-origin chips for training Chinese AI models or integrating them with Huawei’s advanced Ascend processors. This approach seeks to balance the dual imperatives of national security and technological leadership. By allowing trusted nations greater access to US semiconductors, Washington hopes to maintain its dominance in AI development while reducing the incentive for global players to turn to Chinese alternatives. As the AI arms race heats up, the Trump administration's decision to scrap the diffusion rule may offer a crucial edge—enabling US chipmakers to build deeper ties with foreign partners and secure strategic footholds in fast-growing regions.

US rescinds Biden-era AI chip export curbs, opening doors for allies

Nvidia founder and CEO Jensen Huang made a surprise visit to Beijing on Thursday (Apr 17) after the United States announced fresh restrictions on the company&rsquo;s exports of AI chips to <a href="https://www.wionews.com/tags/china">China</a>.
Huang&rsquo;s visit was arranged on the invitation of a trade organisation, according to a social media account affiliated with state media.
Also read | <a href="https://www.wionews.com/world/the-trump-effect-in-action-nvidia-to-manufacture-ai-chips-in-us-as-trump-plans-to-announce-semiconductor-tariffs-8962326">&lsquo;The Trump Effect in action&rsquo;: Nvidia to manufacture AI chips in US as Trump plans to announce &lsquo;semiconductor tariffs&rsquo;</a>
Huang met Ren Hongbin, the head of the China Council for the Promotion of International Trade. The state broadcaster China Central Television (CCTV) reported that Huang &ldquo;to continue to cooperate with China,&rdquo; given that it is a &ldquo;key market&rdquo; for the company.
&ldquo;We regularly meet with government leaders to discuss our company&rsquo;s products and technology,&rdquo; an Nvidia representative said.
Also read | <a href="https://www.wionews.com/world/china-wants-to-meet-trumps-big-claim-as-us-trade-war-with-beijing-heats-up-8973266">China wants to meet? Trump's BIG claim as US trade war with Beijing heats up</a>
China Daily, the ruling Communist Party&rsquo;s official English-language outlet, reported that Huang&rsquo;s trip came &ldquo;three months after pledging to continue cooperation with #China during his last visit&rdquo;. The outlet also published a photo of him in Beijing.
The visit comes as the US imposed new export restrictions, blocking Nvidia from shipping its H20 chip to China. The H20 was specifically designed to comply with Biden-era restrictions, which limited its sales to Chinese companies.&nbsp;
Also read | <a href="https://www.wionews.com/world/is-china-again-conspiring-against-taiwan-beijings-secret-nuclear-submarines-spotted-near-taiwan-on-google-maps-8972225">Is China again conspiring against Taiwan? Beijing's secret nuclear submarines spotted near Taiwan on Google maps</a>
The company said that new restrictions could result in a $5.5 billion loss of revenue. On Wednesday (Apr 16), Nvidia&rsquo;s shares dipped about 7 per cent.
<h2>US-China trade tensions</h2>
In a bid to compete in the race for AI supremacy with China, the Trump administration told Nvidia that the fresh rules were designed to prevent the chips from being &ldquo;used in, or diverted to, a supercomputer in China.&rdquo;
Watch | What will get China to the table on trade talks with US? 
<iframe width="600" height="auto" style="width: 100%; aspect-ratio: 4/3;" allowfullscreen="allowfullscreen" class="external-video publive-iframes-block" src="https://cdn.thepublive.com/wion/static/kaltura_player/wion_video_player_iframe.html?thumbnail=wion/media/post_attachments/screenshot/1704_REMAINS_930AM/00000002.jpg&amp;videourl=https://vodakm.zeenews.com/vod/WION/1704_REMAINS_930AM.mp4/index.m3u8&amp;duration=149&amp;tags=us, china, trade, tariffs" title="What will get China to the table on trade talks with US? " id="PL_iframe_block-m9lh9x4j-p2idmvoc-0mxtl138"></iframe>
The recent restrictions come amid the intensifying tech conflict between the two largest economies in the world. US President Donald Trump has imposed a series of sweeping tariffs and export bans on China as the tech industry slumps under enormous pressure.
Recently, Trump warned of imposing global tariffs on semiconductors. Huang&rsquo;s visit highlights that Nvidia is still exploring ways to preserve its presence in China despite the trade restrictions.

Huang’s visit was arranged on the invitation of a trade organisation, according to a social media account affiliated with state media. SCIENCE & TECH | Business & Economy | World

Nvidia founder and CEO Jensen Huang made a surprise visit to Beijing on Thursday (Apr 17) after the United States announced fresh restrictions on the company’s exports of AI chips to China. Huang’s visit was arranged on the invitation of a trade organisation, according to a social media account affiliated with state media. Also read | ‘The Trump Effect in action’: Nvidia to manufacture AI chips in US as Trump plans to announce ‘semiconductor tariffs’ Huang met Ren Hongbin, the head of the China Council for the Promotion of International Trade. The state broadcaster China Central Television (CCTV) reported that Huang “to continue to cooperate with China,” given that it is a “key market” for the company. “We regularly meet with government leaders to discuss our company’s products and technology,” an Nvidia representative said. Also read | China wants to meet? Trump's BIG claim as US trade war with Beijing heats up China Daily, the ruling Communist Party’s official English-language outlet, reported that Huang’s trip came “three months after pledging to continue cooperation with #China during his last visit”. The outlet also published a photo of him in Beijing. The visit comes as the US imposed new export restrictions, blocking Nvidia from shipping its H20 chip to China. The H20 was specifically designed to comply with Biden-era restrictions, which limited its sales to Chinese companies. Also read | Is China again conspiring against Taiwan? Beijing's secret nuclear submarines spotted near Taiwan on Google maps The company said that new restrictions could result in a $5.5 billion loss of revenue. On Wednesday (Apr 16), Nvidia’s shares dipped about 7 per cent. US-China trade tensions In a bid to compete in the race for AI supremacy with China, the Trump administration told Nvidia that the fresh rules were designed to prevent the chips from being “used in, or diverted to, a supercomputer in China.” Watch | What will get China to the table on trade talks with US? The recent restrictions come amid the intensifying tech conflict between the two largest economies in the world. US President Donald Trump has imposed a series of sweeping tariffs and export bans on China as the tech industry slumps under enormous pressure. Recently, Trump warned of imposing global tariffs on semiconductors. Huang’s visit highlights that Nvidia is still exploring ways to preserve its presence in China despite the trade restrictions.

Nvidia CEO in Beijing: Is the tech giant finding ways to keep a presence in China after US bans AI chips export?

Nvidia, the semiconductor giant, announced on Monday (Apr 14) that it is planning to produce AI supercomputer chips entirely in the US for the first time. This comes after Commerce Secretary Howard Lutnick announced US President Donald Trump&rsquo;s plans to impose a new round of levies called &ldquo;semiconductor tariffs&rdquo;.
In a blog post on Monday, the semiconductor maker said that it had commissioned over one million square feet of manufacturing space to build and test its Blackwell chips in Phoenix, Arizona. It added that it is building supercomputer plants in Houston and Dallas.&nbsp;
Also read | <a href="https://www.wionews.com/world/trump-says-will-announce-semiconductor-tariffs-over-the-next-week-8959167">Trump to announce semiconductor tariffs 'over the next week'</a>
Nvidia said it would take at least a year to reach mass production scale at both plants. The company said that production for Blackwell chips has already started at Phoenix chip plants, which are run by Taiwan Semiconductor Manufacturing Company.
The statement comes as the company hinted at plans last month to invest hundreds of billions of dollars into AI infrastructure in the US over the next four years. This comes as part of a broader stateside development push among semiconductor giants like TSMC and Foxconn.
&ldquo;The engines of the world&rsquo;s AI infrastructure are being built in the United States for the first time,&rdquo; Nvidia CEO Jensen Huang said in a blog post. &ldquo;Adding American manufacturing helps us better meet the incredible and growing demand for AI chips and supercomputers, strengthens our supply chain and boosts our resiliency.&rdquo;
Also read |&nbsp;<a href="https://www.wionews.com/world/tariffs-paused-not-canceled-trumps-tech-exemption-is-temporary-semiconductor-tariffs-coming-in-a-month-or-two-8958637">Tariffs paused, not canceled: Trump&rsquo;s tech exemption is 'temporary'; new semiconductor tariffs coming 'in a month or two'</a>
<h2>&lsquo;The Trump Effect in action&rsquo;</h2>
The White House applauded the company&rsquo;s move on Monday (Apr 14), calling it &ldquo;the Trump Effect in action&rdquo;.
&ldquo;President Donald J. Trump has made US-based chips manufacturing a priority as part of his relentless pursuit of an American manufacturing renaissance, and it&rsquo;s paying off,&rdquo; the White House statement said.
Also read | <a href="https://www.wionews.com/world/xi-jinping-issues-warning-against-trump-tariffs-as-china-eyes-to-cast-itself-as-leader-in-southeast-asia-8961642">'No winners in trade war': Xi issues warning against Trump tariffs as China eyes to cast itself as leader in Southeast Asia</a>
Although Trump suggested new tariffs on imported chips soon, he has also called to repeal the bipartisan CHIPS Act. The 2022 law signed by then-President Joe Biden authorized $280 billion in new funding for the domestic semiconductor industry. Though Congressional Republicans haven&rsquo;t suggested they wish to scrap the measure.
Reportedly, Huang attended dinner, costing $1 million per person, at Trump&rsquo;s Mar-a-Lago resort in Florida earlier this month. The semiconductor giant has promised the Trump administration a fresh commitment of U.S. investment, NPR reported, and the White House reversed course on a plan to bar U.S. chipmakers from selling Nvidia&rsquo;s popular H20 AI chips to China.
(With inputs from agencies)

World | In a blog post on Monday, the semiconductor maker said that it had commissioned over one million square feet of manufacturing space to build and test its Blackwell chips in Phoenix, Arizona. World

Nvidia, the semiconductor giant, announced on Monday (Apr 14) that it is planning to produce AI supercomputer chips entirely in the US for the first time. This comes after Commerce Secretary Howard Lutnick announced US President Donald Trump’s plans to impose a new round of levies called “semiconductor tariffs”. In a blog post on Monday, the semiconductor maker said that it had commissioned over one million square feet of manufacturing space to build and test its Blackwell chips in Phoenix, Arizona. It added that it is building supercomputer plants in Houston and Dallas. Also read | Trump to announce semiconductor tariffs 'over the next week' Nvidia said it would take at least a year to reach mass production scale at both plants. The company said that production for Blackwell chips has already started at Phoenix chip plants, which are run by Taiwan Semiconductor Manufacturing Company. The statement comes as the company hinted at plans last month to invest hundreds of billions of dollars into AI infrastructure in the US over the next four years. This comes as part of a broader stateside development push among semiconductor giants like TSMC and Foxconn. “The engines of the world’s AI infrastructure are being built in the United States for the first time,” Nvidia CEO Jensen Huang said in a blog post. “Adding American manufacturing helps us better meet the incredible and growing demand for AI chips and supercomputers, strengthens our supply chain and boosts our resiliency.” Also read | Tariffs paused, not canceled: Trump’s tech exemption is 'temporary'; new semiconductor tariffs coming 'in a month or two' ‘The Trump Effect in action’ The White House applauded the company’s move on Monday (Apr 14), calling it “the Trump Effect in action”. “President Donald J. Trump has made US-based chips manufacturing a priority as part of his relentless pursuit of an American manufacturing renaissance, and it’s paying off,” the White House statement said. Also read | 'No winners in trade war': Xi issues warning against Trump tariffs as China eyes to cast itself as leader in Southeast Asia Although Trump suggested new tariffs on imported chips soon, he has also called to repeal the bipartisan CHIPS Act. The 2022 law signed by then-President Joe Biden authorized $280 billion in new funding for the domestic semiconductor industry. Though Congressional Republicans haven’t suggested they wish to scrap the measure. Reportedly, Huang attended dinner, costing $1 million per person, at Trump’s Mar-a-Lago resort in Florida earlier this month. The semiconductor giant has promised the Trump administration a fresh commitment of U.S. investment, NPR reported, and the White House reversed course on a plan to bar U.S. chipmakers from selling Nvidia’s popular H20 AI chips to China. (With inputs from agencies)

‘The Trump Effect in action’: Nvidia to manufacture AI chips in US as Trump plans to announce ‘semiconductor tariffs’

It’s been a rough year for the tech giants known as the "magnificent seven. " these major companies, including Tesla, Meta, Nvidia, Alphabet, Microsoft, Apple, and Amazon, have all seen significant losses in 2025 so far. Tesla is the hardest hit, with shares down over 40%. Meta is the only one still in positive territory, showing small gains, while the others have faced steep drops in value. Tesla’s market value has fallen by $780 billion, Apple’s by nearly $700 billion, and Nvidia has seen a 14% decline.

2025 tech market: The magnificent 7’s tough start

The launch of DeepSeek was one of the defining moments in the evolution of Artificial Intelligence. The AI startup from China unveiled a model costing over $6 million, which is a fraction of the billions being spent by the flag bearers of AI in the United States.&nbsp;
For investors, it was a major reality check or rather, shock. AI is definitely the future of work and human interactions, and thus, it was a sure-shot bet to succeed. However, they failed to factor in the costs, which spiked to billions in the name of developing AI infrastructure. Nvidia became the most valuable AI company, with its high-processing chips like the H800, used to train AI models like OpenAI. Then comes DeepSeek, which revealed a training cost far less than anyone in the market. This led to a large market sell-off, with investors looking at AI beyond its scope. Nvidia suffered the biggest single-day loss for any company in history.
<h2>Cost efficiency is the final frontier in the evolution of any innovation</h2>
DeepSeek's latest claims affirm its position as a disruptor. The company revealed a theoretical cost-profit ratio of 545 per cent per day. The company attributes its success to AI model distillation, a technique that compresses large AI models into smaller, cost-effective versions. DeepSeek leveraged open-source models from Meta and Alibaba to build its technology, challenging Silicon Valley's AI leadership. While some argue that smaller models lose some complexity and intelligence, the technique is increasingly being seen as a game-changer.
Meanwhile, US tech firms remain undeterred, highlighting the need to develop strong AI infrastructure for a long-term advantage. The companies have outlined AI spending of over $320 billion in 2025, up from $230 billion in 2024. Amazon leads the pack with plans to invest over $100 billion, mainly in AI-driven cloud infrastructure. Microsoft and Meta have also allocated over $70 billion to develop AI data centres, with Meta calling 2025 a 'defining year for AI.'
Despite these record investments, cloud revenues have been weaker than expected due to supply constraints. Analysts predict these challenges will ease in the second half of 2025. However, for investors, understanding how much money is needed to develop and train AI is crucial for future bets.

Business & Economy, The company attributes its success to AI model distillation, a technique that compresses large AI models into smaller, cost-effective versions.

The launch of DeepSeek was one of the defining moments in the evolution of Artificial Intelligence. The AI startup from China unveiled a model costing over $6 million, which is a fraction of the billions being spent by the flag bearers of AI in the United States. For investors, it was a major reality check or rather, shock. AI is definitely the future of work and human interactions, and thus, it was a sure-shot bet to succeed. However, they failed to factor in the costs, which spiked to billions in the name of developing AI infrastructure. Nvidia became the most valuable AI company, with its high-processing chips like the H800, used to train AI models like OpenAI. Then comes DeepSeek, which revealed a training cost far less than anyone in the market. This led to a large market sell-off, with investors looking at AI beyond its scope. Nvidia suffered the biggest single-day loss for any company in history. Cost efficiency is the final frontier in the evolution of any innovation DeepSeek's latest claims affirm its position as a disruptor. The company revealed a theoretical cost-profit ratio of 545 per cent per day. The company attributes its success to AI model distillation, a technique that compresses large AI models into smaller, cost-effective versions. DeepSeek leveraged open-source models from Meta and Alibaba to build its technology, challenging Silicon Valley's AI leadership. While some argue that smaller models lose some complexity and intelligence, the technique is increasingly being seen as a game-changer. Meanwhile, US tech firms remain undeterred, highlighting the need to develop strong AI infrastructure for a long-term advantage. The companies have outlined AI spending of over $320 billion in 2025, up from $230 billion in 2024. Amazon leads the pack with plans to invest over $100 billion, mainly in AI-driven cloud infrastructure. Microsoft and Meta have also allocated over $70 billion to develop AI data centres, with Meta calling 2025 a 'defining year for AI.' Despite these record investments, cloud revenues have been weaker than expected due to supply constraints. Analysts predict these challenges will ease in the second half of 2025. However, for investors, understanding how much money is needed to develop and train AI is crucial for future bets.

China's DeepSeek shakes up AI economics

Asian stocks seemed directionless as investors parsed the latest tariff announcements from the US. President Donald trump and earnings from Nvidia failed to impress markets. This comes after most regional stock markets posted solid gains on Wednesday. The broader cues in global markets point to safety first approach as the 'tariff man' flexed his muscles again.

Trump sows confusion around global tariffs timing, scope

The predicted increase in demand for Broadcom's artificial intelligence processors led to a first-ever leap to a one trillion-dollar market capitalisation for the tech firm. 
 
Broadcom is the semiconductor supplier to Apple and other major tech companies. The company predicts sales of AI devices will increase by 65 per cent, which is significantly higher than the 10 per cent growth in overall semiconductor sales. 
 
Additionally, by fiscal 2027, the chipmaker anticipated that the addressable market for data centre operators' AI components it produces might reach 90 billion dollars. The semiconductor company is aiming to cash on the AI investment frenzy, much like Nvidia. 
 
Chief executive officer Hock Tan announced his business has secured clients from the largest data centre operators, known as hyperscalers. On Friday, the stock price increased by as much as 21 per cent, marking its largest share-price surge since March 2020. 
 
The hope for AI has attracted investors, who have flocked to Broadcom's shares this year. Demand for processors and networking components drove AI sales growth of 220 per cent over the year, according to Tan. 
 
Consistent with projections, total sales for the period ending in January will come at 14.6 billion dollars.

(With inputs from the agencies)

The predicted increase in demand for Broadcom's artificial intelligence processors led to a first-ever leap to a one trillion-dollar market capitalisation for the tech firm.

The predicted increase in demand for Broadcom's artificial intelligence processors led to a first-ever leap to a one trillion-dollar market capitalisation for the tech firm. Broadcom is the semiconductor supplier to Apple and other major tech companies. The company predicts sales of AI devices will increase by 65 per cent, which is significantly higher than the 10 per cent growth in overall semiconductor sales. Additionally, by fiscal 2027, the chipmaker anticipated that the addressable market for data centre operators' AI components it produces might reach 90 billion dollars. The semiconductor company is aiming to cash on the AI investment frenzy, much like Nvidia. Chief executive officer Hock Tan announced his business has secured clients from the largest data centre operators, known as hyperscalers. On Friday, the stock price increased by as much as 21 per cent, marking its largest share-price surge since March 2020. The hope for AI has attracted investors, who have flocked to Broadcom's shares this year. Demand for processors and networking components drove AI sales growth of 220 per cent over the year, according to Tan. Consistent with projections, total sales for the period ending in January will come at 14.6 billion dollars. (With inputs from the agencies)

Broadcom sees massive opportunity over the next three years

Nvidia has hired hundreds of Chinese nationals this year to strengthen its research capacities and concentrate on new autonomous driving technology. Watch in for more details!

Nvidia Adds About 200 Roles To Its Beijing Headcount In R&D Push

Nvidia has hired hundreds of Chinese nationals this year to strengthen its research capacities and concentrate on new autonomous driving technology.

A Bloomberg report quoting sources showed from an initial staff of around 3,000 in early 2024, the world's second most valuable firm is expected to grow to over 4,000 by the end of the year. 
 
Nvidia has strengthened its team of self-driving researchers in Beijing by adding over 200 employees as part of this development. 
 
According to a Bloomberg source, the American firm has also strengthened its teams responsible for developing networking software and after-sales support. 
 
In response to insatiable demand for its AI processors, Nvidia is increasing its workforce worldwide. 
 
Despite Nvidia being unable to sell its most sophisticated transistors in China due to US trade restrictions, the country nonetheless managed to generate 5.4 billion dollars in sales last quarter.

China is still a major market and research centre for the American chip designer. 
 
Despite Nvidia's efforts to keep relations with Beijing cordial, China’s antitrust agency revealed an investigation into Nvidia's acquisition of Mellanox in 2020. 
 
A deal that the authorities had previously conditionally allowed.

The investigation started shortly after CEO Jensen Huang praised China’s technological achievements on a trip to Hong Kong just a few weeks ago.

(With inputs from the agencies)

Nvidia has hired hundreds of Chinese nationals this year to strengthen its research capacities and concentrate on new autonomous driving technology. A Bloomberg report quoting sources showed from an initial staff of around 3,000 in early 2024, the world's second most valuable firm is expected to grow to over 4,000 by the end of the year.

Nvidia has hired hundreds of Chinese nationals this year to strengthen its research capacities and concentrate on new autonomous driving technology. A Bloomberg report quoting sources showed from an initial staff of around 3,000 in early 2024, the world's second most valuable firm is expected to grow to over 4,000 by the end of the year. Nvidia has strengthened its team of self-driving researchers in Beijing by adding over 200 employees as part of this development. According to a Bloomberg source, the American firm has also strengthened its teams responsible for developing networking software and after-sales support. In response to insatiable demand for its AI processors, Nvidia is increasing its workforce worldwide. Despite Nvidia being unable to sell its most sophisticated transistors in China due to US trade restrictions, the country nonetheless managed to generate 5.4 billion dollars in sales last quarter. China is still a major market and research centre for the American chip designer. Despite Nvidia's efforts to keep relations with Beijing cordial, China’s antitrust agency revealed an investigation into Nvidia's acquisition of Mellanox in 2020. A deal that the authorities had previously conditionally allowed. The investigation started shortly after CEO Jensen Huang praised China’s technological achievements on a trip to Hong Kong just a few weeks ago. (With inputs from the agencies)

Nvidia expands workforce in China amid growth plans

<o:p>Advanced Micro Devices, Inc. (AMD) stated on November 13, that it will lay off 4 per cent of its global staff as the established computer chipmaker focuses on gaining a stronger foothold in the rapidly growing artificial intelligence chip space dominated by Nvidia, according to a detailed report by CNBC.</o:p>

″As a part of aligning our resources with our largest growth opportunities, we are taking a number of targeted steps that will unfortunately result in reducing our global workforce by approximately 4 per cent,” an AMD representative said in a statement. “We are committed to treating impacted employees with respect and helping them through this transition.”<o:p></o:p>

AMD has 26,000 employees on its rolls<o:p></o:p>

AMD had 26,000 employees at the end of last year, according to a US Securities and Exchange Commission filing.<o:p></o:p>

AMD currently is the second-biggest producer of graphics processing units, or GPUs, behind Nvidia. The company has said AI represents one of its largest growth opportunities.

AMD stock is down 5 per cent in 2024 while Nvidia shares have rallied by 200 per cent, making it the most valuable publicly traded company in the world. Nvidia currently boasts a market capitalization of more than $3 trillion, whereas AMD has a market capitalization of $233 billion.<o:p></o:p>

Main objective of the company<o:p></o:p>

AMD produces powerful artificial intelligence (AI) accelerators for data centers, including the MI300X, which companies such as Meta and Microsoft purchase as an alternative to Nvidia-based systems.<o:p></o:p>

Still, Nvidia dominates the market for powerful AI chips, with over 80 per cent market share, partially because it developed the core software that AI engineers use to develop programs such as OpenAI’s ChatGPT, the CNBC report added further.<o:p></o:p>

In October AMD stated that it expects $5 billion in AI chip sales this year, about a fifth of the $25.7 billion in total sales FactSet projects for AMD’s 2024.

The company further anticipates that the total market for AI chips will be $500 billion by 2028, but its total sales are currently dwarfed by Nvidia, which FactSet expects to post $125.9 billion in revenue for calendar year 2024. The gap between Nvidia and AMD is startling, with AMD needing to do a lot of catch up. <o:p></o:p>

Further, GPUs were originally developed for gaming, which is lagging at AMD. AMD’s gaming segment is expected to decline 59 per cent in 2024 to $2.57 billion in revenue, according to FactSet.<o:p></o:p>

AMD also assembles processor chips for laptops, desktops and servers. Intel is its main competition. Its share of server CPU sales rose nearly 3 per cent on an annual basis in the third quarter to 34 per cent, according to Mercury Research.<o:p></o:p>

Market participants and global investors will closely follow these developments in the chip industry. It will guide them in taking informed investment calls going ahead. <o:p></o:p>

<o:p>&nbsp;</o:p>

Advanced Micro Devices, Inc. (AMD) stated on November 13, that it will lay off 4 per cent of its global staff as the established computer chipmaker focuses on gaining a stronger foothold in the rapidly growing artificial intelligence chip space dominated by Nvidia, according to a detailed report by CNBC.

Advanced Micro Devices, Inc. (AMD) stated on November 13, that it will lay off 4 per cent of its global staff as the established computer chipmaker focuses on gaining a stronger foothold in the rapidly growing artificial intelligence chip space dominated by Nvidia, according to a detailed report by CNBC. ″As a part of aligning our resources with our largest growth opportunities, we are taking a number of targeted steps that will unfortunately result in reducing our global workforce by approximately 4 per cent,” an AMD representative said in a statement. “We are committed to treating impacted employees with respect and helping them through this transition.” AMD has 26,000 employees on its rolls AMD had 26,000 employees at the end of last year, according to a US Securities and Exchange Commission filing. AMD currently is the second-biggest producer of graphics processing units, or GPUs, behind Nvidia. The company has said AI represents one of its largest growth opportunities. AMD stock is down 5 per cent in 2024 while Nvidia shares have rallied by 200 per cent, making it the most valuable publicly traded company in the world. Nvidia currently boasts a market capitalization of more than $3 trillion, whereas AMD has a market capitalization of $233 billion. Main objective of the company AMD produces powerful artificial intelligence (AI) accelerators for data centers, including the MI300X, which companies such as Meta and Microsoft purchase as an alternative to Nvidia-based systems. Still, Nvidia dominates the market for powerful AI chips, with over 80 per cent market share, partially because it developed the core software that AI engineers use to develop programs such as OpenAI’s ChatGPT, the CNBC report added further. In October AMD stated that it expects $5 billion in AI chip sales this year, about a fifth of the $25.7 billion in total sales FactSet projects for AMD’s 2024. The company further anticipates that the total market for AI chips will be $500 billion by 2028, but its total sales are currently dwarfed by Nvidia, which FactSet expects to post $125.9 billion in revenue for calendar year 2024. The gap between Nvidia and AMD is startling, with AMD needing to do a lot of catch up. Further, GPUs were originally developed for gaming, which is lagging at AMD. AMD’s gaming segment is expected to decline 59 per cent in 2024 to $2.57 billion in revenue, according to FactSet. AMD also assembles processor chips for laptops, desktops and servers. Intel is its main competition. Its share of server CPU sales rose nearly 3 per cent on an annual basis in the third quarter to 34 per cent, according to Mercury Research. Market participants and global investors will closely follow these developments in the chip industry. It will guide them in taking informed investment calls going ahead.

AMD to cut 4% of workforce, affecting approximately 1,000 jobs

Nvidia said Wednesday (Nov 13) it has secured a partnership with Japanese giant SoftBank Group Corp as the latter plans to build a supercomputer using the American&nbsp;company’s Blackwell design. SoftBank’s telecom arm is building the supercomputer to help support a wide range of local services. The powerful device will be developed based on Nvidia’s DGX B200 product, which boosts computer processors by aligning them with AI accelerator chips.

Nvidia Chief Executive Officer Jensen Huang had announced the plans to use the new Blackwell design earlier this year but the execution slowed following supply chain issues. Now, Nvidia is hoping to ramp up supplies as more production units go online.

Nvidia’s chips have turned out to be a much sought-after commodity in the tech market for companies that aim to utilise Artificial Intelligence (AI) models. &nbsp;

As Huang said Wednesday while speaking at Nvidia’s AI Summit in Tokyo, the plans made by SoftBank’s telecom arm will “result in an AI grid that runs across Japan.”

Also read:&nbsp;<a data-ved="2ahUKEwiDrezFttmJAxW3SmwGHTcLMLMQxfQBKAB6BAgHEAE" href="https://www.wionews.com/business-economy/nvidia-surpasses-36-trillion-market-value-after-trump-win-774511" jsname="YKoRaf" ping="/url?sa=t&amp;source=web&amp;rct=j&amp;opi=89978449&amp;url=https://www.wionews.com/business-economy/nvidia-surpasses-36-trillion-market-value-after-trump-win-774511&amp;ved=2ahUKEwiDrezFttmJAxW3SmwGHTcLMLMQxfQBKAB6BAgHEAE">Nvidia surpasses $3.6 trillion market value after Trump election victory</a>

He added that new AI-RANs, or AI radio access networks, will be harnessed in offering services such as remote robotics and autonomous vehicle support.

The United States-based&nbsp;tech giant is placing special emphasis on markets like India and Japan in a bid to reduce its reliance on select American&nbsp;customers.

Also read:&nbsp;<a data-ved="2ahUKEwiDrezFttmJAxW3SmwGHTcLMLMQxfQBKAB6BAgLEAE" href="https://www.wionews.com/business-economy/nvidia-partners-with-accenture-to-accelerate-ai-adoption-in-businesses-764035" jsname="YKoRaf" ping="/url?sa=t&amp;source=web&amp;rct=j&amp;opi=89978449&amp;url=https://www.wionews.com/business-economy/nvidia-partners-with-accenture-to-accelerate-ai-adoption-in-businesses-764035&amp;ved=2ahUKEwiDrezFttmJAxW3SmwGHTcLMLMQxfQBKAB6BAgLEAE">Nvidia partners with Accenture to accelerate AI adoption in businesses</a>

Earlier in October this year, Nvidia said it would supply artificial intelligence processors to Indian companies such as Reliance Industries. The US firm said it will supply its Blackwell AI processors for a one-gigawatt data centre that the Indian company is building in the western state of Gujarat.

"In the future, India is going to be the country that will export AI," Huang said, by contrast with its role in software exports. "You have the fundamental ingredients - AI, data and AI infrastructure, and you have a large population of users."

(With inputs from agencies)

Nvidia said Wednesday (Nov 13) it has secured a partnership with Japanese giant SoftBank Group Corp as the latter plans to build a supercomputer using the American company’s Blackwell design.

Nvidia said Wednesday (Nov 13) it has secured a partnership with Japanese giant SoftBank Group Corp as the latter plans to build a supercomputer using the American company’s Blackwell design. SoftBank’s telecom arm is building the supercomputer to help support a wide range of local services. The powerful device will be developed based on Nvidia’s DGX B200 product, which boosts computer processors by aligning them with AI accelerator chips. Nvidia Chief Executive Officer Jensen Huang had announced the plans to use the new Blackwell design earlier this year but the execution slowed following supply chain issues. Now, Nvidia is hoping to ramp up supplies as more production units go online. Nvidia’s chips have turned out to be a much sought-after commodity in the tech market for companies that aim to utilise Artificial Intelligence (AI) models. As Huang said Wednesday while speaking at Nvidia’s AI Summit in Tokyo, the plans made by SoftBank’s telecom arm will “result in an AI grid that runs across Japan.” Also read: Nvidia surpasses $3.6 trillion market value after Trump election victory He added that new AI-RANs, or AI radio access networks, will be harnessed in offering services such as remote robotics and autonomous vehicle support. The United States-based tech giant is placing special emphasis on markets like India and Japan in a bid to reduce its reliance on select American customers. Also read: Nvidia partners with Accenture to accelerate AI adoption in businesses Earlier in October this year, Nvidia said it would supply artificial intelligence processors to Indian companies such as Reliance Industries. The US firm said it will supply its Blackwell AI processors for a one-gigawatt data centre that the Indian company is building in the western state of Gujarat. "In the future, India is going to be the country that will export AI," Huang said, by contrast with its role in software exports. "You have the fundamental ingredients - AI, data and AI infrastructure, and you have a large population of users." (With inputs from agencies)

After India, Nvidia makes AI push in Japan; to help with SoftBank’s supercomputer plans

Shares of Nvidia rallied to a record high on Thursday, making the chipmaker the first company in history to surpass a stock market value of $3.6 trillion as Wall Street extended a rally sparked by Donald Trump's return to the White House, as detailed in a report by Reuters.

The dominant AI chipmaker's shares rose 2.2 per cent, lifted by broad investor optimism about tax cuts and lower regulations after the Republican candidate Donald Trump clinched election victory on Tuesday.

First company in history to surpass a stock market value of $3.6 trillion<o:p></o:p>

Nvidia's stock market value ended the day at $3.65 trillion, beating Apple's record closing market capitalization of $3.57 trillion reached on October 21, before the chipmaker on Tuesday overtook the iPhone maker as the world's most valuable company, according to London Stock Exchange Group (LSEG) data, the Reuters report detailed further.

Apple's stock rose 2.1 per cent on Thursday, leaving it with a market value of $3.44 trillion. The S&amp;P 500 technology index has surged over 4 per cent in the two sessions since Trump won the election on Tuesday. 

Nvidia has been the biggest winner in AI computing capacity building<o:p></o:p>

Nvidia has been the US stock market's biggest winner from a race between Microsoft, Alphabet and other heavyweights to build out their AI computing capacity and dominate the emerging technology.&nbsp;&nbsp; 

The Silicon Valley chip designer's stock has climbed 12 per cent in November, with its value tripling so far in 2024. Following this year's surge, Nvidia now exceeds the combined value of Eli Lilly, Walmart, JPMorgan, Visa, UnitedHealth Group and Netflix. 

Analysts on average see Nvidia increasing its quarterly revenue by over 80 per cent to $32.9 billion when it reports its results on November 20, according to London Stock Exchange Group data.

Tech trio’s market capitalization has been neck-and-neck<o:p></o:p>

In June, Nvidia briefly became the world's most valuable company before it was overtaken by Microsoft and Apple. The tech trio's market capitalizations have been neck-and-neck for several months. Microsoft's market value stood at nearly $3.16 trillion, with its stock up 1.25 per cent on November 7.

Shares of Nvidia rallied to a record high on Thursday, making the chipmaker the first company in history to surpass a stock market value of $3.6 trillion as Wall Street extended a rally sparked by Donald Trump's return to the White House, as detailed in a report by Reuters.

Shares of Nvidia rallied to a record high on Thursday, making the chipmaker the first company in history to surpass a stock market value of $3.6 trillion as Wall Street extended a rally sparked by Donald Trump's return to the White House, as detailed in a report by Reuters. The dominant AI chipmaker's shares rose 2.2 per cent, lifted by broad investor optimism about tax cuts and lower regulations after the Republican candidate Donald Trump clinched election victory on Tuesday. First company in history to surpass a stock market value of $3.6 trillion Nvidia's stock market value ended the day at $3.65 trillion, beating Apple's record closing market capitalization of $3.57 trillion reached on October 21, before the chipmaker on Tuesday overtook the iPhone maker as the world's most valuable company, according to London Stock Exchange Group (LSEG) data, the Reuters report detailed further. Apple's stock rose 2.1 per cent on Thursday, leaving it with a market value of $3.44 trillion. The S&P 500 technology index has surged over 4 per cent in the two sessions since Trump won the election on Tuesday. Nvidia has been the biggest winner in AI computing capacity building Nvidia has been the US stock market's biggest winner from a race between Microsoft, Alphabet and other heavyweights to build out their AI computing capacity and dominate the emerging technology. The Silicon Valley chip designer's stock has climbed 12 per cent in November, with its value tripling so far in 2024. Following this year's surge, Nvidia now exceeds the combined value of Eli Lilly, Walmart, JPMorgan, Visa, UnitedHealth Group and Netflix. Analysts on average see Nvidia increasing its quarterly revenue by over 80 per cent to $32.9 billion when it reports its results on November 20, according to London Stock Exchange Group data. Tech trio’s market capitalization has been neck-and-neck In June, Nvidia briefly became the world's most valuable company before it was overtaken by Microsoft and Apple. The tech trio's market capitalizations have been neck-and-neck for several months. Microsoft's market value stood at nearly $3.16 trillion, with its stock up 1.25 per cent on November 7.

Nvidia surpasses $3.6 trillion market value after Trump election victory

Samsung Electronics was once the dominant player in a type of semiconductor known as memory, putting it in a great position to capitalise on the boom of artificial intelligence, as detailed in a report by CNBC.

But the South Korean electronics giant has now fallen behind its long-time rival SK Hynix in next-generation chips that have been key components for AI silicon leader Nvidia, the CNBC report explained further.

$126 billion has been wiped off Samsung’s market value<o:p></o:p>

This resulted in Samsung’s profit dropping, around $126 billion has been wiped off its market value, according to data from S&amp;P Capital IQ, and an executive issued a rare public apology about the company’s recent financial performance.

Memory is a critical type of chip used to store data, and it can be found in a plethora of devices from smartphones to laptops. For years, Samsung was the undeniable leader in this technology, ahead of South Korean rival SK Hynix and US competitor Micron.

But as artificial intelligence (AI) applications such as OpenAI’s ChatGPT rose in popularity, the underlying infrastructure required to train the huge models they rely on became a bigger focus. Nvidia has emerged as the top player in this space with its graphics processing units (GPUs) that have become the gold standard used by technology giants for AI training.

A crucial part of that semiconductor architecture is high-bandwidth memory or HBM. This next generation of memory involves stacking multiple dynamic random access memory (DRAM) chips, but it had a small market before the AI boom, that’s where Samsung got caught out and failed to invest, the CNBC report elaborated further.

“HBM has been a very niche product ... for a long time and Samsung has not focused its resources on its development,” Kazunori Ito, director of equity research at Morningstar, told CNBC by email. “Due to the difficulty of the technology involved in stacking DRAMs and the small size of the addressable market, it was believed that the high development costs were not justified.”

SK Hynix saw this opportunity. The company aggressively launched HBM chips which were approved for use in Nvidia architecture and, in the process, the South Korean firm established a close relationship with the US giant. Nvidia’s CEO even asked the company to speed up the supply of its next-generation chip, underscoring the importance of HBM to its products.

SK Hynix posted a record quarterly operating profit in the September quarter. “With strong R&amp;D (research and development) investments and established industry partnerships, SK Hynix maintains an edge in both HBM innovation and market penetration,” Brady Wang, associated director at Counterpoint Research, told CNBC by email.

Technology giant Samsung stated in a conversation with CNBC that, in the third quarter, total HBM sales grew more than 70 per cent quarter-on-quarter. The tech giant added that the current product known as HBM3E is in mass production and generating sales. 

The South Korean tech company noted that development for its next-generation HBM4 is “underway according to plan” and that the company is targeting starting “mass production” in the second half of 2025.

Can Samsung stage a comeback?

Analysts say Samsung is falling behind competitors, particularly SK Hynix, due to underinvestment in high-bandwidth memory (HBM) and a lack of first-mover advantage. Morningstar’s Ito stated that Samsung has yet to close the HBM development gap with SK Hynix.

Samsung’s short-term recovery hinges on Nvidia’s approval, as the company must pass Nvidia’s rigorous qualification process to become a supplier. Nvidia’s approval is crucial, given its dominance in the AI chip market. A Samsung spokesperson said the company has made significant progress with HBM3E and expects to expand sales in Q4, aided by its R&amp;D and semiconductor manufacturing strengths.

Samsung Electronics was once the dominant player in a type of semiconductor known as memory, putting it in a great position to capitalise on the boom of artificial intelligence, as detailed in a report by CNBC.

Samsung Electronics was once the dominant player in a type of semiconductor known as memory, putting it in a great position to capitalise on the boom of artificial intelligence, as detailed in a report by CNBC. But the South Korean electronics giant has now fallen behind its long-time rival SK Hynix in next-generation chips that have been key components for AI silicon leader Nvidia, the CNBC report explained further. $126 billion has been wiped off Samsung’s market value This resulted in Samsung’s profit dropping, around $126 billion has been wiped off its market value, according to data from S&P Capital IQ, and an executive issued a rare public apology about the company’s recent financial performance. Memory is a critical type of chip used to store data, and it can be found in a plethora of devices from smartphones to laptops. For years, Samsung was the undeniable leader in this technology, ahead of South Korean rival SK Hynix and US competitor Micron. But as artificial intelligence (AI) applications such as OpenAI’s ChatGPT rose in popularity, the underlying infrastructure required to train the huge models they rely on became a bigger focus. Nvidia has emerged as the top player in this space with its graphics processing units (GPUs) that have become the gold standard used by technology giants for AI training. A crucial part of that semiconductor architecture is high-bandwidth memory or HBM. This next generation of memory involves stacking multiple dynamic random access memory (DRAM) chips, but it had a small market before the AI boom, that’s where Samsung got caught out and failed to invest, the CNBC report elaborated further. “HBM has been a very niche product ... for a long time and Samsung has not focused its resources on its development,” Kazunori Ito, director of equity research at Morningstar, told CNBC by email. “Due to the difficulty of the technology involved in stacking DRAMs and the small size of the addressable market, it was believed that the high development costs were not justified.” SK Hynix saw this opportunity. The company aggressively launched HBM chips which were approved for use in Nvidia architecture and, in the process, the South Korean firm established a close relationship with the US giant. Nvidia’s CEO even asked the company to speed up the supply of its next-generation chip, underscoring the importance of HBM to its products. SK Hynix posted a record quarterly operating profit in the September quarter. “With strong R&D (research and development) investments and established industry partnerships, SK Hynix maintains an edge in both HBM innovation and market penetration,” Brady Wang, associated director at Counterpoint Research, told CNBC by email. Technology giant Samsung stated in a conversation with CNBC that, in the third quarter, total HBM sales grew more than 70 per cent quarter-on-quarter. The tech giant added that the current product known as HBM3E is in mass production and generating sales. The South Korean tech company noted that development for its next-generation HBM4 is “underway according to plan” and that the company is targeting starting “mass production” in the second half of 2025. Can Samsung stage a comeback? Analysts say Samsung is falling behind competitors, particularly SK Hynix, due to underinvestment in high-bandwidth memory (HBM) and a lack of first-mover advantage. Morningstar’s Ito stated that Samsung has yet to close the HBM development gap with SK Hynix. Samsung’s short-term recovery hinges on Nvidia’s approval, as the company must pass Nvidia’s rigorous qualification process to become a supplier. Nvidia’s approval is crucial, given its dominance in the AI chip market. A Samsung spokesperson said the company has made significant progress with HBM3E and expects to expand sales in Q4, aided by its R&D and semiconductor manufacturing strengths.

How Samsung lagged in the AI race, resulting in a $126 billion loss

Nvidia Corp. became the largest company in the world on November 5, surpassing Apple Inc. and underlined&nbsp;just how dominant artificial intelligence has become on Wall Street, as detailed in a report by Bloomberg.

Nvidia touches a market capitalization of $3.43 trillion <o:p></o:p>

The shares of the company rose 2.9 per cent to $139.93, resulting in a market capitalization of $3.43 trillion, ahead of Apple at $3.38 trillion. Microsoft Corp., which Nvidia passed last month, has a market cap of $3.06 trillion. Nvidia has soared more than 850 per cent since the end of 2022, the Bloomberg report explained further.

“Over the past several quarters, it has felt like people basically care about inflation numbers, job numbers, and Nvidia numbers,” said Fall Ainina, director of research at James Investment Research. “Nvidia overtaking Apple in market cap not only conveys that it is the biggest beneficiary of the AI infrastructure cycle, but it suggests people expect the AI boom will continue.”

The chipmaker accounts for 7 per cent of the weight of the S&amp;P 500 Index and is responsible for about a quarter of the benchmark’s 21 per cent gain this year. Nvidia previously closed with the title of largest company in June, although it only held the record for a day.

Biggest companies on Wall Street remain exposed to artificial intelligence<o:p></o:p>

The biggest companies on Wall Street are all heavily exposed to artificial intelligence: Apple with its newly launched AI iPhones; Microsoft, Amazon.com Inc., and Alphabet Inc. with their cloud businesses and AI services; and Meta Platforms Inc.’s AI features and ad targeting. With the exception of Apple, these companies are all among Nvidia’s largest customers, and they have stressed their commitment to continuing to spend on AI. AI hence might be the theme of the decade.

Last week, Apple’s results underlined concerns about its revenue growth, along with weakness in China. Nvidia is set to report its numbers later this month.

Not only are the biggest companies by market cap AI plays, but so are the year’s top stock performers. Nvidia’s 183 per cent advance is the third-largest in the S&amp;P 500 this year, behind Vistra Corp, the power producer that has seen a surge in demand related to AI and data-analysis software firm Palantir Technologies Inc.

Recent strength has come as the company calmed investor concerns about issues involving its Blackwell chip, which was delayed due to engineering snags, as well as its long-term growth prospects.

Nvidia’s is expected to double its revenue<o:p></o:p>

Analysts expect Nvidia’s revenue to more than double in its current fiscal year and rise another 44 per cent during the following year, according to data compiled by Bloomberg. Wall Street analysts have continually raised estimates for Nvidia’s earnings and profit over the past quarter.

Beyond the Blackwell optimism, recent sales from Taiwan Semiconductor Manufacturing Co. showed strong AI demand, while a funding round for OpenAI resulted in a $157 billion valuation. OpenAI recently released an AI model with reasoning capabilities, something Alphabet Inc. is also working on.

“The implication of AI is extraordinarily large, and these big technology companies are investing hundreds of billions into it, with Nvidia benefiting the most,” said James Investment’s Ainina. “Overall there continues to be a good picture for its prospects.”

Market participants and investors will closely follow these developments and the results of leading companies working in artificial intelligence. This will help them in taking better and informed investment decisions.

Nvidia Corp. became the largest company in the world on November 5, surpassing Apple Inc. and underlined just how dominant artificial intelligence has become on Wall Street, as detailed in a report by Bloomberg.

Nvidia Corp. became the largest company in the world on November 5, surpassing Apple Inc. and underlined just how dominant artificial intelligence has become on Wall Street, as detailed in a report by Bloomberg. Nvidia touches a market capitalization of $3.43 trillion The shares of the company rose 2.9 per cent to $139.93, resulting in a market capitalization of $3.43 trillion, ahead of Apple at $3.38 trillion. Microsoft Corp., which Nvidia passed last month, has a market cap of $3.06 trillion. Nvidia has soared more than 850 per cent since the end of 2022, the Bloomberg report explained further. “Over the past several quarters, it has felt like people basically care about inflation numbers, job numbers, and Nvidia numbers,” said Fall Ainina, director of research at James Investment Research. “Nvidia overtaking Apple in market cap not only conveys that it is the biggest beneficiary of the AI infrastructure cycle, but it suggests people expect the AI boom will continue.” The chipmaker accounts for 7 per cent of the weight of the S&P 500 Index and is responsible for about a quarter of the benchmark’s 21 per cent gain this year. Nvidia previously closed with the title of largest company in June, although it only held the record for a day. Biggest companies on Wall Street remain exposed to artificial intelligence The biggest companies on Wall Street are all heavily exposed to artificial intelligence: Apple with its newly launched AI iPhones; Microsoft, Amazon.com Inc., and Alphabet Inc. with their cloud businesses and AI services; and Meta Platforms Inc.’s AI features and ad targeting. With the exception of Apple, these companies are all among Nvidia’s largest customers, and they have stressed their commitment to continuing to spend on AI. AI hence might be the theme of the decade. Last week, Apple’s results underlined concerns about its revenue growth, along with weakness in China. Nvidia is set to report its numbers later this month. Not only are the biggest companies by market cap AI plays, but so are the year’s top stock performers. Nvidia’s 183 per cent advance is the third-largest in the S&P 500 this year, behind Vistra Corp, the power producer that has seen a surge in demand related to AI and data-analysis software firm Palantir Technologies Inc. Recent strength has come as the company calmed investor concerns about issues involving its Blackwell chip, which was delayed due to engineering snags, as well as its long-term growth prospects. Nvidia’s is expected to double its revenue Analysts expect Nvidia’s revenue to more than double in its current fiscal year and rise another 44 per cent during the following year, according to data compiled by Bloomberg. Wall Street analysts have continually raised estimates for Nvidia’s earnings and profit over the past quarter. Beyond the Blackwell optimism, recent sales from Taiwan Semiconductor Manufacturing Co. showed strong AI demand, while a funding round for OpenAI resulted in a $157 billion valuation. OpenAI recently released an AI model with reasoning capabilities, something Alphabet Inc. is also working on. “The implication of AI is extraordinarily large, and these big technology companies are investing hundreds of billions into it, with Nvidia benefiting the most,” said James Investment’s Ainina. “Overall there continues to be a good picture for its prospects.” Market participants and investors will closely follow these developments and the results of leading companies working in artificial intelligence. This will help them in taking better and informed investment decisions.

Riding the AI wave Nvidia overtakes Apple as the world’s largest company

A reshuffle is underway in the oldest Wall Street benchmark stock index - the Dow Jones industrial average. Nvidia, the chipmaker at the centre of the artificial intelligence revolution, is set to join the Dow Index.

The leader in AI chips will replace Intel on the 128-year Dow Jones index on November 8th. Additionally, Sherwin-Williams will replace Dow in the index. Nvidia's inclusion in the blue-chip index is evidence of the strength of the AI-driven surge that has propelled the chip maker's stock up 900 per cent over the last 24 months.

Nvidia's market value dwarfs Intel's after a two-year surge. Until now, the only significant US market index that did not include Nvidia was Wall Street's oldest - the Dow Jones industrial average.

Scott Colyer, chief executive at Advisors Asset Management, told Bloomberg, "Nvidia is a well-run company and joining the Dow demonstrates just how powerful its rally has been in recent years after it was at the right place at the right time when no one else was."

The largest contributor to stock market gains and the epitome of the AI frenzy is Nvidia. At $3.32 trillion market value, the chipmaker is around $50 billion behind Apple. With shares up 3.2 per cent in post-market trade, Nvidia is likely to overtake Apple as the most valuable business in the world as early as Monday if the gains hold.

Intel joined the gauge in November 1999 when it was added along with Microsoft. But, Intel has been struggling recently with a turnaround plan. The company has slashed spending in 2024, cut jobs and suspended investor payouts. Shares have lost 54 per cent this year and sank another 2 per cent after the bell on Friday.

A reshuffle is underway in the oldest Wall Street benchmark stock index - the Dow Jones industrial average. Nvidia, the chipmaker at the centre of the artificial intelligence revolution, is set to join the Dow Index.

A reshuffle is underway in the oldest Wall Street benchmark stock index - the Dow Jones industrial average. Nvidia, the chipmaker at the centre of the artificial intelligence revolution, is set to join the Dow Index. The leader in AI chips will replace Intel on the 128-year Dow Jones index on November 8th. Additionally, Sherwin-Williams will replace Dow in the index. Nvidia's inclusion in the blue-chip index is evidence of the strength of the AI-driven surge that has propelled the chip maker's stock up 900 per cent over the last 24 months. Nvidia's market value dwarfs Intel's after a two-year surge. Until now, the only significant US market index that did not include Nvidia was Wall Street's oldest - the Dow Jones industrial average. Scott Colyer, chief executive at Advisors Asset Management, told Bloomberg, "Nvidia is a well-run company and joining the Dow demonstrates just how powerful its rally has been in recent years after it was at the right place at the right time when no one else was." The largest contributor to stock market gains and the epitome of the AI frenzy is Nvidia. At $3.32 trillion market value, the chipmaker is around $50 billion behind Apple. With shares up 3.2 per cent in post-market trade, Nvidia is likely to overtake Apple as the most valuable business in the world as early as Monday if the gains hold. Intel joined the gauge in November 1999 when it was added along with Microsoft. But, Intel has been struggling recently with a turnaround plan. The company has slashed spending in 2024, cut jobs and suspended investor payouts. Shares have lost 54 per cent this year and sank another 2 per cent after the bell on Friday.

Nvidia set to replace Intel in the Dow Jones Index

Now, we turn our attention to the reshuffle in the oldest wall street benchmark stock index - the dw jones industrial average. Nvidia, the chipmaker at the centre of the artificial intelligence revolution, is set to join the dow index.

Dow Jones Index's Reshuffle In Focus

Ola Electric, India's largest pure-play electric vehicle manufacturer, has unveiled a Digital Twin platform that promises to transform its manufacturing operations and product development capabilities. The new platform, announced today, combines cutting-edge technologies including Krutrim AI, NVIDIA Omniverse, and advanced simulation tools.

The innovative platform marks a crucial step forward in modern manufacturing, leveraging the power of digital simulation to optimise real-world operations. By creating comprehensive digital twin environments, Ola Electric can now simulate and perfect its manufacturing processes before implementing them in the physical world, significantly reducing potential errors and optimization time.

At the heart of this technological advancement is the integration with NVIDIA Omniverse, a sophisticated platform that provides crucial APIs, software development kits, and services. This integration enables Ola's developers to utilise Universal Scene Description (OpenUSD) for physical AI applications, while NVIDIA Isaac Sim provides robust capabilities for robot design and testing.

The implementation has already yielded impressive results, with Ola Electric reporting a more than 20% reduction in time-to-market from design to commissioning at its Futurefactory. This efficiency gain represents a significant competitive advantage in the rapidly evolving electric vehicle market.

One of the platform's most innovative applications is in the company's autonomous robotic weld lines. The Digital Twin platform allows Ola to simulate welding processes and quality inspection systems virtually, enabling thorough testing and refinement of changes before physical implementation. This capability significantly reduces the risks and costs associated with production line modifications.

The platform's generative AI capabilities, working in conjunction with NVIDIA Omniverse APIs, have revolutionised Ola's approach to perception AI model training. By generating synthetic assets, including various lighting conditions, environmental scenes, objects, and potential defects, the company has compressed the training timeline from months to weeks. This acceleration includes the ability to safely simulate scenarios that would be dangerous or impossible to replicate in real-world conditions.

Beyond manufacturing applications, the platform demonstrates impressive versatility in its deployment. It includes thermal simulation capabilities crucial for developing next-generation OLA Krutrim data centres and liquid-cooling infrastructure, showcasing the technology's broader potential beyond automotive applications.

Ola Consumer, a division of the company, has extended the platform's utility to retail operations, utilising NVIDIA Isaac Sim to train robots for pick-and-place applications in automated dark stores. This application demonstrates the platform's ability to handle complex stock-keeping units in dynamic, automated environments, further expanding its practical applications beyond manufacturing.

The introduction of this Digital Twin platform represents a significant milestone in India's manufacturing capabilities and highlights Ola Electric's commitment to technological innovation. By combining artificial intelligence, digital twin technology, and advanced simulation capabilities, Ola is positioning itself at the forefront of the global transition to electric vehicles.

This development also signals a broader trend in manufacturing, where digital transformation and artificial intelligence are becoming increasingly critical for maintaining competitive advantage. As other manufacturers observe Ola's success with this platform, it could catalyse similar adoptions across the industry, potentially reshaping the future of manufacturing processes globally.

Ola Electric, India's largest pure-play electric vehicle manufacturer, has unveiled a Digital Twin platform that promises to transform its manufacturing operations and product development capabilities.

Ola Electric, India's largest pure-play electric vehicle manufacturer, has unveiled a Digital Twin platform that promises to transform its manufacturing operations and product development capabilities. The new platform, announced today, combines cutting-edge technologies including Krutrim AI, NVIDIA Omniverse, and advanced simulation tools. The innovative platform marks a crucial step forward in modern manufacturing, leveraging the power of digital simulation to optimise real-world operations. By creating comprehensive digital twin environments, Ola Electric can now simulate and perfect its manufacturing processes before implementing them in the physical world, significantly reducing potential errors and optimization time. At the heart of this technological advancement is the integration with NVIDIA Omniverse, a sophisticated platform that provides crucial APIs, software development kits, and services. This integration enables Ola's developers to utilise Universal Scene Description (OpenUSD) for physical AI applications, while NVIDIA Isaac Sim provides robust capabilities for robot design and testing. The implementation has already yielded impressive results, with Ola Electric reporting a more than 20% reduction in time-to-market from design to commissioning at its Futurefactory. This efficiency gain represents a significant competitive advantage in the rapidly evolving electric vehicle market. One of the platform's most innovative applications is in the company's autonomous robotic weld lines. The Digital Twin platform allows Ola to simulate welding processes and quality inspection systems virtually, enabling thorough testing and refinement of changes before physical implementation. This capability significantly reduces the risks and costs associated with production line modifications. The platform's generative AI capabilities, working in conjunction with NVIDIA Omniverse APIs, have revolutionised Ola's approach to perception AI model training. By generating synthetic assets, including various lighting conditions, environmental scenes, objects, and potential defects, the company has compressed the training timeline from months to weeks. This acceleration includes the ability to safely simulate scenarios that would be dangerous or impossible to replicate in real-world conditions. Beyond manufacturing applications, the platform demonstrates impressive versatility in its deployment. It includes thermal simulation capabilities crucial for developing next-generation OLA Krutrim data centres and liquid-cooling infrastructure, showcasing the technology's broader potential beyond automotive applications. Ola Consumer, a division of the company, has extended the platform's utility to retail operations, utilising NVIDIA Isaac Sim to train robots for pick-and-place applications in automated dark stores. This application demonstrates the platform's ability to handle complex stock-keeping units in dynamic, automated environments, further expanding its practical applications beyond manufacturing. The introduction of this Digital Twin platform represents a significant milestone in India's manufacturing capabilities and highlights Ola Electric's commitment to technological innovation. By combining artificial intelligence, digital twin technology, and advanced simulation capabilities, Ola is positioning itself at the forefront of the global transition to electric vehicles. This development also signals a broader trend in manufacturing, where digital transformation and artificial intelligence are becoming increasingly critical for maintaining competitive advantage. As other manufacturers observe Ola's success with this platform, it could catalyse similar adoptions across the industry, potentially reshaping the future of manufacturing processes globally.

Ola Electric launches NVIDIA Omniverse-powered Digital Twin platform

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