NVIDIA Vera CPU

The data movement engine for agentic reasoning.

Overview
Use Cases
Features
Vera Architecture
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Overview
Use Cases
Features
Vera Architecture
Get Started

Overview

Built for Accelerated Systems at Scale

The NVIDIA Vera CPU is purpose-built for agentic reasoning, coordinating data movement, memory, and workflows across accelerated systems. NVIDIA Vera pairs seamlessly with NVIDIA GPUs for AI systems and can operate independently to power analytics, cloud, system orchestration, storage, and high-performance computing (HPC) workloads. With high-performance, energy-efficient cores, massive low-power memory bandwidth, and deterministic latency, NVIDIA Vera keeps GPUs fully utilized while delivering 2X the performance of the prior generation and industry-leading energy efficiency.

NVIDIA Kicks Off the Next Generation of AI With Rubin

The leading-edge platform scales mainstream adoption, slashing cost per token with five breakthroughs for reasoning and agentic AI models.

Read the Press Release

Inside the NVIDIA Rubin Platform: Six New Chips, One AI Supercomputer

Built through extreme codesign, NVIDIA Vera Rubin treats the data center, not the chip, as the unit of compute, establishing a new foundation for producing intelligence efficiently, securely, and predictably at scale.

Read the Tech Blog

Use Cases

Next-Generation Data Centers

AI Factories

NVIDIA Vera delivers system-level efficiency to AI factories, serving both as the host CPU that feeds GPUs for gigascale AI and as the compute backbone for the tasks that keep the factory running in real time, including agentic processing, extract, transform, and load (ETL), key-value (KV) cache management, and orchestration. With massive memory bandwidth, a single compute die design that avoids cross-chiplet latency, Vera delivers predictable performance while keeping GPUs fully utilized across accelerated AI and HPC systems.

Core Compute Platforms

NVIDIA Vera also operates as a standalone CPU compute platform for hyperscale cloud, analytics, HPC, storage, and enterprise workloads to complement its role in GPU-accelerated AI factories. It delivers high-performance cores, fast on-chip fabric with a single compute die design and uniform memory access, and predictable throughput for branchy, data-intensive, and real-time workloads that benefit from strong performance, high bandwidth and energy efficiency.

Features

Explore the Technological Breakthroughs

Built for the demands of next-generation data centers, the Vera CPU combines high-performance NVIDIA custom-designed Olympus cores, efficient LPDDR5X memory, low-latency NVIDIA Scalable Coherency Fabric (SCF), NVIDIA NVLink™ Chip-to-Chip (C2C) connectivity, support for full confidential computing, and full Arm® compatability. This monolithic compute architecture keeps data flowing, maximizing throughput, energy efficiency, and GPU utilization across AI, analytics, and HPC workloads.

NVIDIA-Designed Olympus Cores With Spatial Multithreading

The NVIDIA Vera CPU, featuring 88 Olympus cores, delivers 2X the performance of its predecessor with industry-leading energy efficiency and full Armv9.2 compatibility, and is the first CPU to support FP8 precision. Each core supports NVIDIA Spatial Multithreading, a new type of multithreading that enables 176 total threads by physically partitioning each core’s resources rather than time slicing them, allowing the system to optimize for performance or density at runtime.

Energy-Efficient Memory Subsystem With More Bandwidth and Capacity

The NVIDIA Vera CPU delivers up to 1.2 terabytes per second (TB/s) of memory bandwidth while consuming less than 50 watts of memory power, providing more than 2X the bandwidth of the previous generation. This capability is critical for memory-bound workloads such as agentic AI pipelines, data preparation, KV-cache management, and memory-intensive HPC simulations. NVIDIA Vera supports up to 1.5 TB of LPDDR5X memory, a 3x increase over its predecessor, delivering breakthrough efficiency for the next generation of data centers.

Maximized Performance With Second-Generation NVIDIA SCF

Modern CPU workloads demand fast and efficient data movement. The second generation of NVIDIA SCF—a 3.4 TB/s bisection bandwidth, on-chip mesh with a unified cache—scales all 88 cores across a single compute die, delivering uniform, high-bandwidth access to compute and memory resources. By keeping compute tightly integrated and avoiding cross-chiplet communication, this design preserves uniform bandwidth and predictable performance at scale.

Seamless Data Sharing With Second-Generation NVIDIA NVLink-C2C

NVIDIA NVLink-C2C delivers 1.8 TB/s of coherent bandwidth, enabling seamless data sharing between processors. When paired with NVIDIA Rubin GPUs, it forms a unified memory system that allows the CPU and GPU to work together on complex AI and HPC workloads, large datasets, and KV-cache offload, while supporting secure, hardware-enforced isolation for sensitive data and code. NVLink-C2C also reduces data-transfer bottlenecks and simplifies optimization in dual-socket NVIDIA Vera CPU systems.

NVIDIA Vera Rubin NVL72

NVIDIA Vera Rubin NVL72 unifies leading-edge technologies from NVIDIA: 72 Rubin GPUs, 36 Vera CPUs, ConnectX®-9 SuperNICs, and BlueField®-4 DPUs. It scales up intelligence in a rack-scale platform with the NVLink 6 switch and scales out with NVIDIA Quantum-X800 InfiniBand and Spectrum-X™ Ethernet to power the AI industrial revolution.

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