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Nvidia details its next-generation Vera CPU for AI, setting up challenge to AMD and Intel

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Why This Matters

Nvidia's introduction of its next-generation Vera CPU marks a strategic move to challenge established CPU giants Intel and AMD in the AI server market. By offering its own CPUs alongside its GPUs, Nvidia aims to create fully integrated systems that enhance AI performance and reduce reliance on third-party chipmakers, positioning itself as a key player in the evolving data center landscape. This development could significantly influence the competitive dynamics and innovation trajectory within the tech industry, especially in AI infrastructure.

Key Takeaways

Jensen Huang, chief executive officer of Nvidia Corp., speaks next to a Vera Rubin Ultra Kyber compute tray and a Vera Rubin Ultra Kyber NVLink midplane during a keynote address at the Nvidia GTC conference in San Jose, California, March 16, 2026.

Nvidia became the most valuable company because of insatiable demand for its graphics processing unit, or GPU, the primary chip used for creating and deploying artificial intelligence.

But the chip giant is now shipping its own central processing units, or CPUs, which cloud providers could decide to deploy in place of those from Advanced Micro Devices and Intel , opening up a new battleground in AI servers.

On Tuesday, Nvidia released new information about its data center CPU, called Vera, including specifications and the kind of benchmarks and architectural information that prospective customers need to fully evaluate the chip. Nvidia representatives said Vera chips were delivered to clients, including OpenAI , Anthropic , and SpaceX , in June.

Nvidia is seen as the company that sets the direction for the information technology industry. But in CPUs, Nvidia is the challenger once again, competing against two well-established players in Intel and AMD, which have deep ties to hyperscalers and cloud giants.

The company's investment in CPUs is another example of Nvidia's strategy to vertically integrate its systems and produce more of the chips and technology inside them every year. It aims to sell the entire system as a full rack of computing power, instead of simply selling chips by themselves.

It's a strategy that Nvidia says will help engineers squeeze more performance out of their GPUs, helping the company's systems remain the computers of choice for leading AI labs as competition from AMD and custom chips heats up.

Before the AI boom, the CPU was the most important and most expensive part in a server. The first generation of AI servers available when ChatGPT was released in 2022 paired as many as eight GPUs to one CPU, signaling a shift towards Nvidia's GPUs.

But the rise of agentic AI, which can run independently in the background with minimal human input, has returned attention to the CPU, which is needed to babysit and feed data to an agent. Financial markets have noticed, and CPU incumbents AMD and Intel are among the two best-performing chip stocks so far in 2026, up 128% and 149% respectively, besting Nvidia's rise of 8%.