# NVIDIA Vera **CPU Rack**

Purpose-built for reinforcement learning and agentic AI.

[Read the Press Release](https://nvidianews.nvidia.com/news/nvidia-launches-vera-cpu-purpose-built-for-agentic-ai)

Overview

## Rack-Scale Infrastructure for AI Factories

Built on [NVIDIA MGX™](https://www.nvidia.com/en-us/data-center/products/mgx.md), the Vera CPU Rack delivers rack-scale CPU infrastructure for modern [AI factories](https://www.nvidia.com/en-us/solutions/ai-factories.md). As reinforcement learning (RL) and agentic AI systems scale, CPUs execute the code, tools, and data workflows that drive results. Vera combines leading per-core performance, massive memory bandwidth, and exceptional energy efficiency, completing workloads up to 50% faster with twice the efficiency of traditional CPU infrastructure.

### NVIDIA Launches the Vera CPU, Purpose-Built for Agentic AI

The NVIDIA Vera CPU delivers the highest performance and energy efficiency for data processing, AI training, and agentic inference at scale.

[Read the Press Release](https://nvidianews.nvidia.com/news/nvidia-launches-vera-cpu-purpose-built-for-agentic-ai)

### NVIDIA Vera CPU Delivers High Performance and Efficiency for AI Factories

The NVIDIA Vera CPU is designed for modern AI workloads, with key design features including extreme single-core performance, efficient rack-scale co-design and more.

[Read the Tech Blog](https://developer.nvidia.com/blog/nvidia-vera-cpu-delivers-high-performance-bandwidth-and-efficiency-for-ai-factories)

## CPU Sandboxes: Executing AI Actions at Scale

## Environments Powering RL and Agentic AI

RL and agentic AI systems rely on software environments outside the model that run model-generated code, tools, and data operations, evaluate results, and return feedback before the next step proceeds. Each environment typically runs on a dedicated CPU core and, at scale, thousands to millions operate in parallel. Their fully loaded per-core performance directly determines how quickly accelerators can continue working.

The NVIDIA Vera CPU Rack is purpose-built to support these environments at scale. A single liquid-cooled rack integrates up to 256 Vera CPUs, supporting more than 22,500 concurrent CPU environments. It’s designed for sustained per-core performance and up to 2x higher energy efficiency, keeping evaluation cycles short, and AI factories operating at peak throughput.

### NVIDIA Vera CPU

Vera is a breakthrough CPU engineered specifically for the age of AI, delivering the exceptional single-thread performance and massive memory bandwidth required to power complex reinforcement learning loops and agentic workflows.

[Build AI Systems With Vera CPUs](https://www.nvidia.com/en-us/data-center/vera-cpu.md)

### NVIDIA MGX

NVIDIA MGX delivers a modular AI infrastructure that reduces development cost and accelerates time to market across modern data centers.

[Accelerate Data Center Innovation With MGX](https://www.nvidia.com/en-us/data-center/products/mgx.md)

### NVIDIA BlueField-4

NVIDIA® BlueField®-4 DPUs accelerate data processing across storage, networking, cybersecurity, and elastic scaling in AI factories.

[Power AI Factories With BlueField-4](https://www.nvidia.com/en-us/networking/products/data-processing-unit.md)

### NVIDIA Spectrum-X Ethernet

NVIDIA Spectrum-X™ Ethernet delivers high effective bandwidth, low latency, and performance isolation for AI. The Vera CPU Rack supports rack-scale Spectrum-X Ethernet for higher power efficiency and resiliency.

[Unlock High-Performance AI Networking](https://www.nvidia.com/en-us/networking/spectrumx.md)

Specifications1

## NVIDIA Vera

|  | NVIDIA Vera CPU Rack | NVIDIA Vera CPU |
| --- | --- | --- |
| Configuration | 256 Vera CPUs | 1 Vera CPU |
| Cores | Threads | 22,528 NVIDIA Olympus cores 45,056 threads | 88 NVIDIA Olympus cores 176 threads |
| Memory Capacity | Up to 400 TB | Up to 1.5 TB |
| Aggregate Bandwidth | Up to 315 TB/s | Up to 1.2 TB/s |
| N/S Networking | NVIDIA BlueField-4 DPU | N/A |
| Cooling | Liquid Cooled | N/A |

1. Preliminary information. All values are up to and subject to change.

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