NVIDIA Ships First Vera CPU to Open Agentic AI Era

NVIDIA begins shipping the first Vera CPU, officially opening the era of Agentic AI. The chip features 88 custom Olympus cores and 1.2TB/s memory bandwidth.

NVIDIA Ships First Vera CPU to Open Agentic AI Era

has begun shipping its first Vera CPUs to major artificial intelligence companies. This release marks the official opening of the era of Agentic AI. The processor is designed specifically for high-performance data center workloads.

New processor designed for high-performance data center workloads

The Vera CPU features 88 custom Olympus cores. It supports 176 threads through NVIDIA Spatial Multi-Threading. The chip delivers 1.2TB/s of memory bandwidth. It connects to other components via a 1.8TB/s NVLink-C2C interconnect. The system supports up to 1.5TB of LPDDR5X memory using SOCAMM modules.

Spec comparison

Spec Vera CPU
Core Count 88 cores
Thread Count 176 threads
Memory Bandwidth 1.2TB/s
Interconnect 1.8TB/s NVLink-C2C
System Memory Up to 1.5TB
NVIDIA Vera CPU featuring 88 custom Olympus cores and 1.2TB/s memory bandwidth for data center workloads.
The chip delivers high-performance capabilities essential for Agentic AI systems.

NVIDIA claims the Vera CPU offers up to 50% improved performance per core under full load compared to previous generations. The company also states there is up to a 2x improvement in data processing, compression, and CI/CD performance compared to its Grace processor. Initial deliveries went to OpenAI, SpaceX, Anthropic, and Oracle Cloud. CoreWeave, Meta Platforms, and Alibaba Group are also early adopters.

The Vera CPU is the first data center processor to utilize LPDDR5 memory technology. This architectural choice allows for higher bandwidth and lower power consumption in dense server environments. The move signals a shift in how large language models and agentic systems will be powered in the near future.

Vera CPU architecture utilizing LPDDR5X SOCAMM modules to enable higher bandwidth and lower power consumption.
This architectural shift powers the next generation of large language models.

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