N

NVIDIA Vera Rubin

Hardware

by NVIDIA

NVIDIA's data-centre platform succeeding Blackwell, pairing Rubin GPUs with Vera CPUs at rack scale for agentic AI and reasoning workloads.

Find alternatives to NVIDIA Vera Rubin

No pricing published; sold through the server-maker and OEM supply chain rather than a rate card.

What it does

• Accelerator silicon
• AI compute hardware
• Interconnect
• Model inference
• Model training
• Server systems

How it compares

• Cisco AI PODs

  Our competitors (in each case relative to only some of our products or services) include: ... Nvidia Corporation; ...; among others.

  Regulatory filing · 25 Jul 2026

Sources

Pricing

Official documentation · 2 Sep 2026

No price published on the page.

Description

Official documentation · 2 Sep 2026

Page title "Infrastructure for Scalable AI Reasoning | NVIDIA Vera Rubin Platform", headline "Driving the Era of Agentic AI", and the page states Vera Rubin "is ramping into full production" with server makers shipping systems - which is why status is active and maturity ga rather than announced.

What it does

Official documentation · 7 Sep 2026

Fetched 2026-09-07: HTTP 200, <title> “Infrastructure for Scalable AI Reasoning | NVIDIA Vera Rubin Platform”. The page says the platform is “purpose-built to accelerate training, inference, and post-training for every AI workload” and that it “supercharges inference, delivering more tokens per watt”.

Sold within

Not found · 30 Sep 2026

The page says "The NVIDIA Vera Rubin is ramping into full production, with Taiwan’s top server makers and global supply chain leaders manufacturing at scale and shipping Vera Rubin-based systems" and lists systems built on it (DGX Vera Rubin NVL72, DGX Rubin NVL8, HGX Rubin NVL8, Vera Rubin NVL4). It states no price, store or buying route for the platform itself; it reaches buyers inside server makers' systems.

Also from NVIDIA

• NVIDIA AI Enterprise Platform

  Supported software suite for building and deploying AI workloads on NVIDIA hardware.

• NVIDIA Blackwell Hardware

  Data-centre GPU architecture used for training and serving large models, sold in servers and rack systems.

• CUDA Toolkit Platform

  Programming toolkit and libraries for running general-purpose computation on NVIDIA GPUs.

• NVIDIA DGX Cloud Infrastructure service

  NVIDIA's AI cloud of GPU clusters and managed AI services, which NVIDIA's own page now presents as its internal environment for building its models, and which is still sold on Microsoft's Azure marketplace.

• NVIDIA DRIVE Platform

  End-to-end autonomous-vehicle platform spanning training infrastructure, simulation and safety-certified in-vehicle compute for production autonomy from L2++ to L4.

• NVIDIA Isaac Platform

  Open robotics development platform combining simulation, CUDA-accelerated perception libraries, ROS 2 integration and humanoid tooling for building AI-powered robots.

• NVIDIA NeMo Platform

  Suite of libraries and microservices covering the AI agent lifecycle - data curation, customisation, evaluation, guardrails and monitoring.

• NVIDIA NIM Model API

  Prebuilt inference microservices that package foundation models with optimised serving engines and standard APIs, deployable as hosted endpoints or self-hosted containers.

• NVIDIA Omniverse Platform

  Platform of OpenUSD-based libraries and microservices for building simulation-ready digital twins and synthetic-data environments used to train and validate physical AI and robots.

• NVIDIA ACE Platform

  Suite of AI technologies (speech, intelligence, animation models and plugins) for building conversational, actionable in-game characters, mostly MIT-licensed with some components under NVIDIA's open model license.

• NVIDIA AI Workbench Platform

  Free development-environment manager for creating, customizing and collaborating on AI applications across GPU systems, with enterprise support available through an NVIDIA AI Enterprise license.

• NVIDIA BioNeMo Platform

  Development platform for AI-driven biology and drug discovery: open models, libraries, datasets and NIM microservices for the full AI lifecycle in biopharma.

• NVIDIA BlueField Platform Hardware

  Data-processing-unit (DPU) platform combining compute with accelerated networking, storage and security for AI-factory infrastructure.

• NVIDIA Broadcast Hardware

  Free application that enhances livestreams and video calls with AI noise removal, background replacement and other audio/video effects; requires a GeForce RTX GPU.

• NVIDIA DGX Spark Hardware

  Desktop AI supercomputer powered by the GB10 Grace Blackwell Superchip for local autonomous agents, running models up to 200B parameters for inference.

• NVIDIA DGX Station Hardware

  Deskside AI supercomputer powered by the GB300 Grace Blackwell Ultra Superchip, up to 20 petaFLOPS and 748GB coherent memory, supporting models up to 1T parameters.

• NVIDIA Dynamo-Triton (Triton Inference Server) Platform

  Open-source model-deployment server for TensorRT, PyTorch, ONNX, OpenVINO and other frameworks across GPUs and CPUs, with production support and stable APIs through NVIDIA AI Enterprise.

• NVIDIA HGX Platform Hardware

  Reference baseboard specification (HGX B200, B300, Vera Rubin NVL8) that system integrators and OEMs build into complete AI servers, listed in NVIDIA's Qualified System Catalog.

• NVIDIA IGX Platform Hardware

  Edge-AI developer kits (IGX Thor, IGX Thor Mini, IGX Orin) for industrial and medical edge computing.

• NVIDIA Jetson Hardware

  Family of embedded AI modules and developer kits for robotics and edge AI (Thor, AGX Orin, Orin NX/Nano, Xavier, TX2/Nano series).

• NVIDIA OVX Systems Hardware

  Scalable data-centre server systems (e.g. OVX L40S with four or eight GPUs) for AI and graphics workloads, built by NVIDIA OVX partners.

• NVIDIA Quantum-X InfiniBand Hardware

  Quantum-X800 InfiniBand switching for large-scale AI clusters, part of NVIDIA's InfiniBand networking line.

• NVIDIA RAPIDS Platform

  Suite of open-source, GPU-accelerated data-science libraries (cuDF, cuML, cuGraph, cuxfilter), rebranding to "CUDA-X for Data Science."

• NVIDIA Riva Platform

  Deployable speech-AI library (ASR/TTS) for production inference, free to prototype via build.nvidia.com and licensed for production deployment through NVIDIA AI Enterprise.

• NVIDIA RTX PRO Hardware

  Professional GPU line (RTX PRO 2000 through RTX PRO 6000) for AI, graphics and simulation workloads across Blackwell, Ada Lovelace, Ampere and Turing architectures.

• NVIDIA Spectrum-X Hardware

  Ethernet networking platform (switches, ConnectX SuperNICs, BlueField DPUs, LinkX cables) purpose-built for generative-AI-scale data centres.

• NVIDIA TensorRT Platform

  Ecosystem of compilers, runtimes and optimization tools for high-performance deep-learning inference; TensorRT-LLM and Model Optimizer are free on GitHub, with commercial deployment options via NVIDIA AI Enterprise.

• NVIDIA Virtual GPU (vGPU) Hardware

  Software that virtualizes GPUs across VMs in enterprise data centres and cloud deployments, licensed through NVIDIA's vGPU License and Support Portal.

Open NVIDIA in the directory

Something wrong here? Send a correction — quote this product id: nvidia-vera-rubin.