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Home»AI»Nvidia is aiming to control every AI chip in datacenters

Nvidia is aiming to control every AI chip in datacenters

AI By Gavin Wallace21/07/20262 Mins Read
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Nvidia is the rage Vera Rubin Chip system, which reveals new performance standards for the GPU and CPU combo The winner is… AMDAnnual product event of’s in San Francisco, Thursday.

Nvidia executives bragged to journalists at a technical workshop that lasted for hours last week, held in Santa Clara. California. They were referring to the increased efficiency and power of the new chip system. Nvidia is trying to become a CPU supplier that powers AI agents.

Although GPUs remain the most popular, they are not as powerful. main hardware As the AI industry moves towards more complex and agentic AI systems, demand has increased for CPUs which are capable of orchestrating data flows, software tasks and networking. This is likely the reason Nvidia wants to be seen as a complete AI system supplier, rather than just AI chip.

Vera Rubin will be the successor of Nvidia. hybrid superchip Grace Blackwell is the keystone of the AI Industry’s near future. This system was designed with one CPU to every two graphics cards. Vera Rubin super chips have 36 Vera CPUs per 72 Rubin GPUs. Nvidia sells Vera as an independent product. reportedly told Chinese customers These could be available as early as August.

Nvidia’s new Vera Rubin Hardware System uses a CPU chip.

Nvidia Courtesy

Nvidia executives emphasized that its new Vera Rubin NVL72 racks—a stack of chips packed into a single liquid-cooled platform—are much more “plug-and-play” It is more efficient than its previous products. Nvidia executives revealed that OpenAI has already implemented a Vera Rubin Rack during a tour of their data center in Silicon Valley.

Nvidia Chief Executive Jensen Huang did not attend the Santa Clara workshop last week. He was in Japan, announcing Nvidia’s new products. partnerships with a number of Japanese firms to develop AI for robotics. Ian Buck, Nvidia’s former vice president of accelerated computation and architect of the company’s CUDA CUDA-based software was in charge.

“We’re on a road map to crank out new architectures, not just GPUs but CPUs,” Buck spoke to reporters. “We’re going to keep innovating, because it’s do this or die in Silicon Valley.”

A Nvidia representative told WIRED that Huang held the meetings in his executive briefing centre, which was stocked with many bags of Taiwanese snack foods he brought from Computex in Taipei. Computex is a huge annual trade show for semiconductors.

chips cpus data centers nvidia semiconductors
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