NVIDIA Vera CPU ships with 88 Olympus cores, 1.5x agentic AI speedup over x86, starting with OpenAI
NVIDIA detailed its Vera CPU at GTC on Tuesday, revealing an 88-core Arm-based design with 176 threads using proprietary Spatial Multithreading. The chip is engineered for agentic AI workloads—where CPUs orchestrate tool calls, code execution, and sandbox concurrency—and claims 1.5x better performance per sandbox and 1.8x higher agent throughput than x86 competitors (Intel Xeon, AMD EPYC). Vera is entering full production with deliveries already shipped to OpenAI, Anthropic, and SpaceX in June.
Unlike Intel and AMD, which have focused CPU designs on raw core counts for parallel workloads, NVIDIA optimized Vera for single-core speed, memory bandwidth, and latency. The chip consumes 250–450 watts and supports up to 1.5 terabytes of low-power memory per socket. Phoronix benchmarks showed Vera 11% faster than AMD's latest EPYC and 55% faster than Intel's best single-socket Xeon on a curated workload subset. Wolfe Research estimates $5,000 average selling price and 1.3 million unit shipments in 2026.
Vera opens a $200 billion server CPU market that NVIDIA has never addressed. NVIDIA CFO Colette Cress said the company expects $20 billion in Grace and Vera CPU revenue in FY2027, potentially making NVIDIA the world's largest CPU supplier by revenue. For architects, Vera reduces the CPU layer bottleneck that stalls expensive GPUs waiting for agent orchestration, making it critical for reinforcement learning, agentic inference, and code generation stacks where token density depends on CPU latency.