NVIDIA announces Vera CPU for the Agentic AI age

NVIDIA has launched the NVIDIA Vera CPU, the first processor purpose-built for the age of agentic AI and reinforcement learning, delivering results with twice the efficiency and 50% faster than traditional rack-scale CPUs. The NVIDIA Vera CPU builds on the success of the NVIDIA Grace CPU, enabling organizations of all sizes and across industries to build AI factories that unlock agentic AI at scale. Vera is a new class of CPU that delivers higher AI throughput, responsiveness and efficiency for large-scale AI services.

Leading hyperscalers collaborating with NVIDIA to deploy Vera include Alibaba Cloud, CoreWeave, Meta and Oracle Cloud Infrastructure, as well as global system makers Dell Technologies, HPE, Lenovo, Supermicro and others. This broad adoption establishes Vera as the new CPU standard for the AI workloads that matter most for developers, startups, public-private institutions and enterprises — helping democratize access to AI and accelerating innovation.

“Vera is arriving at a turning point for AI. As intelligence becomes agentic capable of reasoning and acting the importance of the systems orchestrating that work is elevated,” said Jensen Huang, founder and CEO of NVIDIA. “The CPU is no longer simply supporting the model; it’s driving it. With breakthrough performance and energy efficiency, Vera unlocks AI systems that think faster and scale further.”

NVIDIA announced a new Vera CPU rack integrating 256 liquid-cooled Vera CPUs to sustain more than 22,500 concurrent CPU environments, each running independently at full performance. AI factories can quickly deploy and scale to tens of thousands of simultaneous instances and agentic tools in a single rack.

The new Vera rack is built using the NVIDIA MGX modular reference architecture, supported by 80 ecosystem partners worldwide.

As part of the NVIDIA Vera Rubin NVL72 platform, Vera CPUs are paired with NVIDIA GPUs through NVIDIA NVLink-C2C interconnect technology, offering 1.8 TB/s of coherent bandwidth — 7x the bandwidth of PCIe Gen 6 — for high-speed data sharing between CPUs and GPUs. Additionally, NVIDIA introduced new reference designs that use Vera as the host CPU for NVIDIA HGX Rubin NVL8 systems, coordinating data movement and system control for GPU-accelerated workloads.