NVIDIA is coming for Intel and AMD’s turf
On May 31, NVIDIA announced full production of its Vera CPU, positioning the 88-core chip as the data center industry’s first processor designed specifically for AI agent workloads. Anthropic, OpenAI, SpaceXAI, Oracle Cloud Infrastructure, ByteDance, and CoreWeave are among early adopters planning deployments, according to the company’s press release.
The chip represents NVIDIA’s most aggressive push yet beyond GPUs and into the CPU market that Intel and AMD have dominated for decades. 5 million units to date, Vera introduces a fully custom core architecture called Olympus rather than licensing an off-the-shelf ARM core design, according to Tom’s Hardware. Why AI Agent workloads are redefining CPU demand in data centers The economics of data centers for artificial intelligence have changed.
As models progress from responding to questions to executing code, invoking programs, and coordinating complex tasks, the CPU becomes a key issue. ” The specifications of Vera illustrate its potential. 2 TB per second of bandwidth while consuming less than 30 watts of memory power.
8 times the speed of x86 processors when working on agentic AI applications such as code compilation, Python execution, Java, and database manipulation. 0 GHz, as claimed by the NVIDIA blog. ” However, this comes with a rider since the benchmarks used above were selected and performed by NVIDIA itself.
No independent testing has been conducted so far. Early market adoption from AI labs, hyperscalers, and enterprise players Vera’s client roster includes AI research institutions, hyperscalers, and finance infrastructure. 1 trillion messages per day, intends to utilize Vera along with Redpanda and Hewlett Packard Enterprise to increase capacity and reduce latency.
According to James Bradbury, the head of compute at Anthropic, the firm is assessing Vera for CPU-intensive agentic workloads. “Scaling compute is an important accelerant for the growth of models,” Bradbury said. ” Oracle Cloud Infrastructure plans to become the first hyperscaler to make use of Vera, with OCI executive vice president Mahesh Thiagarajan calling it “the next frontier in hyperscale AI supercomputing”.
On the hardware manufacturing side, Dell Technologies, HPE, Lenovo, and Supermicro will offer Vera in standalone CPU server configurations. NVIDIA described this as “the first standard CPU option beyond x86” from major OEMs. Taiwan-based manufacturers, including ASUS, Foxconn, GIGABYTE, Quanta Cloud Technology, and Wistron, are also building systems.
Broader integration across NVIDIA’s AI infrastructure stack Vera fits in perfectly within NVIDIA’s full-stack AI factory ecosystem vision. 8TB/s bandwidth. Additionally, Vera forms part of the BlueField-4 STX platform in terms of networking and storage.
As per Dealroom , Ian Buck, the NVIDIA executive, delivered the initial Vera units to clients such as Anthropic in San Francisco and SpaceXAI in Palo Alto. The memory supply chain has reacted immediately. DIGITIMES states that NVIDIA’s move to commercialize Vera as a separate chip creates demand for low-power DRAM, thus placing more stress on the existing tight supply chain of memory chips.
What to watch as Vera enters deployment phase Vera systems ship to partners and cloud providers in the third quarter of this year. However, some issues that need to be considered are whether the results of independent benchmarks against a range of general applications support NVIDIA’s claim of performance and whether the custom Olympus chip can rival the ability of x86 software for application compatibility.
Right now, though, one thing is clear: NVIDIA is no longer content to own only the accelerator. It wants the entire AI data center stack. Don’t just read crypto news.
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