Nvidia Begins Volume Shipments of Vera, an 88-Core Server CPU Aimed at Agent Workloads

Nvidia said its Vera central processing unit (CPU) has entered full production and is shipping at scale, with Ian Buck, the company's vice president of hyperscale and high-performance computing, hand-delivering the first systems to Amazon Web Services, Oracle Cloud Infrastructure and three model developers, Anthropic, OpenAI and SpaceXAI. Commercial availability through system builders and cloud partners is set for the autumn.

Vera is the first server processor where Nvidia designed the core itself rather than licensing an Arm design. It carries 88 custom Olympus cores and 176 hardware threads on a monolithic compute die with 164 megabytes of unified last-level cache, up to 1.2 terabytes per second of LPDDR5X memory bandwidth using SOCAMM2 modules, up to 1.5 terabytes of memory per socket, and up to 3.4 terabytes per second of core-to-core bandwidth. Nvidia claims 1.8 times faster task completion than x86 processors on agentic AI, reinforcement learning and data-processing workloads, a vendor figure that has not been independently benchmarked across those three categories.

The design choice worth noting is the emphasis on single-thread performance and memory capacity rather than raw core count. Agent workloads spend a large share of wall-clock time on orchestration, tool calls, sandboxed code execution, retrieval and data preparation, all of which run on the host CPU while the accelerator waits. Oracle's stated plan to field hundreds of thousands of Vera parts beginning this year is a bet that host-side serialization, not GPU throughput, is what limits agent throughput at scale.