Nvidia has offered its clearest look yet at Vera Rubin, the AI platform it hopes will power the next generation of artificial intelligence. During a technical briefing at its headquarters in Santa Clara, California, the company revealed fresh performance figures for the new chip system ahead of AMD's annual AI event. Nvidia says the Vera Rubin NVL72 platform can process 10 times more AI tokens per watt than its current Grace Blackwell system, while delivering significantly higher memory bandwidth and easier deployment.The announcement highlights a major shift in Nvidia's strategy. The company no longer wants to be seen only as the world's leading GPU maker it also wants to become a supplier of complete AI computing systems.<h2>Nvidia is betting on CPUs too</h2>Graphics Processing Units (GPUs) remain the backbone of AI training, but modern AI agents also rely heavily on Central Processing Units (CPUs) to manage data, networking and software operations.Vera Rubin reflects that change.Each NVL72 rack combines 72 Rubin GPUs with 36 Vera CPUs, creating an integrated platform designed for large AI workloads. Nvidia is also planning to sell the Vera CPU separately, expanding its push into a market traditionally dominated by AMD and Intel."We're on a roadmap to crank out new architectures not just GPUs but CPUs," Nvidia Vice President Ian Buck said during the briefing.<h2>Faster, cooler and easier to install</h2>Nvidia says Vera Rubin introduces several practical improvements for data centres.The company has redesigned the platform to use 100 per cent liquid cooling, reducing energy needed for cooling. It has also dramatically reduced cabling, allowing server racks to be installed or replaced in minutes instead of hours.Another key improvement is memory performance. Nvidia claims Vera Rubin offers nearly three times the memory bandwidth of Grace Blackwell, an important advantage as AI models continue to grow in size. The company also revealed that OpenAI is already testing a Vera Rubin rack as an early customer.<h2>A crucial launch in the AI chip race</h2>Vera Rubin arrives at a critical moment for Nvidia. The company is competing aggressively with AMD, which is expected to showcase its Helios AI platform, while cloud providers including Microsoft, Oracle, Meta and Amazon continue investing billions of dollars in AI infrastructure.Nvidia also faces pressure to execute flawlessly after earlier reports of overheating issues affecting some Blackwell server configurations. According to Nvidia, Vera Rubin remains on schedule for full production in the second half of this year. As AI models become larger and more capable, the competition is no longer just about building the fastest GPU. Companies now need complete AI systems that combine processing power, networking, memory efficiency and energy savings and Nvidia is betting Vera Rubin will keep it ahead in that race.

Nvidia has unveiled new performance details for its Vera Rubin AI platform, claiming up to 10 times better token-per-watt efficiency than Grace Blackwell. The system combines CPUs and GPUs to power advanced AI workloads as competition with AMD intensifies.

Nvidia has offered its clearest look yet at Vera Rubin, the AI platform it hopes will power the next generation of artificial intelligence. During a technical briefing at its headquarters in Santa Clara, California, the company revealed fresh performance figures for the new chip system ahead of AMD's annual AI event. Nvidia says the Vera Rubin NVL72 platform can process 10 times more AI tokens per watt than its current Grace Blackwell system, while delivering significantly higher memory bandwidth and easier deployment. The announcement highlights a major shift in Nvidia's strategy. The company no longer wants to be seen only as the world's leading GPU maker it also wants to become a supplier of complete AI computing systems. Nvidia is betting on CPUs too Graphics Processing Units (GPUs) remain the backbone of AI training, but modern AI agents also rely heavily on Central Processing Units (CPUs) to manage data, networking and software operations. Vera Rubin reflects that change. Each NVL72 rack combines 72 Rubin GPUs with 36 Vera CPUs, creating an integrated platform designed for large AI workloads. Nvidia is also planning to sell the Vera CPU separately, expanding its push into a market traditionally dominated by AMD and Intel. "We're on a roadmap to crank out new architectures not just GPUs but CPUs," Nvidia Vice President Ian Buck said during the briefing. Faster, cooler and easier to install Nvidia says Vera Rubin introduces several practical improvements for data centres. The company has redesigned the platform to use 100 per cent liquid cooling, reducing energy needed for cooling. It has also dramatically reduced cabling, allowing server racks to be installed or replaced in minutes instead of hours. Another key improvement is memory performance. Nvidia claims Vera Rubin offers nearly three times the memory bandwidth of Grace Blackwell, an important advantage as AI models continue to grow in size. The company also revealed that OpenAI is already testing a Vera Rubin rack as an early customer. A crucial launch in the AI chip race Vera Rubin arrives at a critical moment for Nvidia. The company is competing aggressively with AMD, which is expected to showcase its Helios AI platform, while cloud providers including Microsoft, Oracle, Meta and Amazon continue investing billions of dollars in AI infrastructure. Nvidia also faces pressure to execute flawlessly after earlier reports of overheating issues affecting some Blackwell server configurations. According to Nvidia, Vera Rubin remains on schedule for full production in the second half of this year. As AI models become larger and more capable, the competition is no longer just about building the fastest GPU. Companies now need complete AI systems that combine processing power, networking, memory efficiency and energy savings and Nvidia is betting Vera Rubin will keep it ahead in that race.

Nvidia has unveiled new performance details for its Vera Rubin AI platform, claiming up to 10 times better token-per-watt efficiency than Grace Blackwell. The system combines CPUs and GPUs to power advanced AI workloads as competition with AMD intensifies.

Nvidia says its next AI superchip is 10 times more efficient than Blackwell

BASIC Home Loan, one of India’s fastest-growing mortgage-focused fintech companies, has announced the launch of HOM-i (pronounced Homey) — an AI-powered platform designed to deliver instant home loan decisions and simplify the entire homebuying process for Indian consumers. HOM-i uses generative AI and machine learning to assess a borrower’s credit profile, evaluate properties, verify project approvals, and match users with suitable lenders. Buyers can interact with HOM-i via text, voice, or video chat in more than 30 Indian languages, including hybrid languages like Hinglish, making expert assistance available 24/7.&nbsp;Also Read: <a href="https://www.wionews.com/business-economy/what-is-the-mis-selling-of-mutual-funds-insurance-and-financial-instruments-how-to-avoid-it-1758026774339">What is the mis-selling of mutual funds, insurance, and financial instruments? How to avoid it?</a>&nbsp;During its beta phase, HOM-i analysed over 3 lakh customer profiles and 2 lakh property profiles, facilitating housing loans worth ₹30,000 crore. It also identified common rejection patterns, helping lenders and borrowers improve loan success rates. The system is built on a large dataset of over 6 lakh call transcripts, 2 million minutes of advisor conversations, and 1 million digital interactions, allowing it to understand borrower needs and behaviours in depth.&nbsp;Ahead of its early access launch in October and full rollout in November, 700 BASIC advisors will conduct 2 million minutes of human-led training to enhance HOM-i’s accuracy. The platform currently operates at 60–70% precision and aims to reach 90% within six–nine months. “HOM-i will bring speed, clarity, and confidence to every stage of the housing loan journey,” said Atul Monga, CEO and co-founder, BASIC Home Loan. “Our vision is to make home financing faster, smarter, and more transparent for millions of Indians.”&nbsp;Also Read: <a href="https://www.wionews.com/business-economy/maruti-suzuki-victoris-launched-check-the-prices-of-all-variants-of-the-arena-car-1758015261039">Maruti Suzuki Victoris&nbsp;launched: Check the prices of all variants of the Arena car</a>&nbsp;Future updates will integrate land records, municipal databases, and AI-driven property valuation to enable instant ownership verification and fair pricing — reducing paperwork, delays, and uncertainty in homebuying.

Instant home loan decisions with AI: The future of home financing is here

BASIC Home Loan, one of India’s fastest-growing mortgage-focused fintech companies, has announced the launch of HOM-i (pronounced Homey) — an AI-powered platform designed to deliver instant home loan decisions and simplify the entire homebuying process for Indian consumers. HOM-i uses generative AI and machine learning to assess a borrower’s credit profile, evaluate properties, verify project approvals, and match users with suitable lenders. Buyers can interact with HOM-i via text, voice, or video chat in more than 30 Indian languages, including hybrid languages like Hinglish, making expert assistance available 24/7. Also Read: What is the mis-selling of mutual funds, insurance, and financial instruments? How to avoid it? During its beta phase, HOM-i analysed over 3 lakh customer profiles and 2 lakh property profiles, facilitating housing loans worth ₹30,000 crore. It also identified common rejection patterns, helping lenders and borrowers improve loan success rates. The system is built on a large dataset of over 6 lakh call transcripts, 2 million minutes of advisor conversations, and 1 million digital interactions, allowing it to understand borrower needs and behaviours in depth. Ahead of its early access launch in October and full rollout in November, 700 BASIC advisors will conduct 2 million minutes of human-led training to enhance HOM-i’s accuracy. The platform currently operates at 60–70% precision and aims to reach 90% within six–nine months. “HOM-i will bring speed, clarity, and confidence to every stage of the housing loan journey,” said Atul Monga, CEO and co-founder, BASIC Home Loan. “Our vision is to make home financing faster, smarter, and more transparent for millions of Indians.” Also Read: Maruti Suzuki Victoris launched: Check the prices of all variants of the Arena car Future updates will integrate land records, municipal databases, and AI-driven property valuation to enable instant ownership verification and fair pricing — reducing paperwork, delays, and uncertainty in homebuying.

BASIC Home Loan have launched HOM-i, India’s first AI platform offering instant home loan approvals, multi-language support, and smarter lender matching to transform homebuying

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Nvidia says its next AI superchip is 10 times more efficient than Blackwell

Instant home loan decisions with AI: The future of home financing is here