Vera CPU by NVIDIA accelerates large-scale AI workloads
Energy-efficient design and GPU integration make Vera CPU ideal for enterprise and research AI systems.
NVIDIA has unveiled the Vera CPU, designed specifically for agentic AI and reinforcement learning. It delivers 50% faster performance and double the energy efficiency, already adopted by Alibaba, Meta, ByteDance, Oracle Cloud, CoreWeave, and Lambda.
Vera features 88 Olympus cores, high-bandwidth memory, and advanced multithreading, supporting large-scale AI deployments. Liquid-cooled racks can host over 22,500 concurrent CPU environments, allowing enterprises and research labs to scale agentic AI efficiently.
The CPU integrates with NVIDIA GPUs via NVLink-C2C and includes ConnectX SuperNIC and BlueField-4 DPUs to enhance networking, storage, and security. Early users like Cursor and Redpanda report major gains in AI agent throughput and real-time data processing.
High performance, energy efficiency, and GPU integration make Vera a new standard for faster, scalable, and responsive AI systems. The platform supports coding assistants, reinforcement learning, and large-scale data, making it suitable for enterprise and scientific use.
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