NVIDIA Kicks Off the Next Generation of AI With Rubin ? Six New Chips, One Incredible AI Supercomputer

NVIDIA kickstarted the next generation of AI with the launch of the NVIDIA Rubin platform, comprising six new chips designed to deliver one incredible AI supercomputer. NVIDIA Rubin sets a new standard for building, deploying and securing the world?s largest and most advanced AI systems at the lowest cost to accelerate mainstream AI adoption. The Rubin platform uses extreme codesign across the six chips ?

the NVIDIA Vera CPU, NVIDIA Rubin GPU, NVIDIA NVLink 6 Switch, NVIDIA ConnectX-9 SuperNIC, NVIDIA BlueField-4 DPU and NVIDIA Spectrum-6 Ethernet Switch ? to slash training time and inference token costs. The Rubin platform features the NVIDIA Vera Rubin NVL72 rack-scale solution and the NVIDIA HGX Rubin NVL8 system.

The Rubin platform introduces five innovations, including the latest generations of NVIDIA NVLink interconnect technology, Transformer Engine, Confidential Computing and RAS Engine, as well as the NVIDIA Vera CPU. These breakthroughs will accelerate agentic AI, advanced reasoning and massive-scale mixture-of-experts (MoE) model inference at up to 10x lower cost per token of the NVIDIA Blackwell platform. Compared with its predecessor, the NVIDIA Rubin platform trains MoE models with 4x fewer GPUs to accelerate AI adoption.

Among the world?s leading AI labs, cloud service providers, computer makers and startups expected to adopt Rubin are Amazon Web Services (AWS), Anthropic, Black Forest Labs, Cisco, Cohere, CoreWeave, Cursor, Dell Technologies, Google, Harvey, HPE, Lambda, Lenovo, Meta, Microsoft, Mistral AI, Nebius, Nscale, OpenAI, OpenEvidence, Oracle Cloud Infrastructure (OCI), Perplexity, Runway, Supermicro, Thinking Machines Lab and xAI. The Rubin platform?s five groundbreaking technologies include sixth-generation NVIDIA NVLink, NVIDIA Vera CPU, NVIDIA Rubin GPU, third-generation NVIDIA Confidential Computing, and second-generation RAS Engine. NVIDIA Rubin introduces NVIDIA Inference Context Memory Storage Platform, a new class of AI-native storage infrastructure designed to scale inference context at gigascale.

Powered by NVIDIA BlueField-4, the platform enables efficient sharing and reuse of key-value cache data across AI infrastructure, improving responsiveness and throughput while enabling predictable, power-efficient scaling of agentic AI. BlueField-4 also introduces Advanced Secure Trusted Resource Architecture, or ASTRA, a system-level trust architecture that gives AI infrastructure builders a single, trusted control point to securely provision, isolate and operate large-scale AI environments without compromising performance. NVIDIA Vera Rubin NVL72 offers a unified, secure system that combines 72 NVIDIA Rubin GPUs, 36 NVIDIA Vera CPUs, NVIDIA NVLink 6, NVIDIA ConnectX-9 SuperNICs and NVIDIA BlueField-4 DPUs.

NVIDIA will also offer the NVIDIA HGX Rubin NVL8 platform, a server board that links eight Rubin GPUs through NVLink to support x86-based generative AI platforms. The HGX Rubin NVL8 platform accelerates training, inference and scientific computing for AI and high-performance computing workloads. NVIDIA DGX SuperPOD serves as a reference for deploying Rubin-based systems at scale, integrating either NVIDIA DGX Vera Rubin NVL72 or DGX Rubin NVL8 systems with NVIDIA BlueField-4 DPUs, NVIDIA ConnectX-9 SuperNICs, NVIDIA InfiniBand networking and NVIDIA Mission Control software. NVIDIA Spectrum-6 Ethernet is the next generation of Ethernet for AI networking, built to scale Rubin-based AI factories with higher efficiency and greater resilience, and enabled by 200G SerDes communication circuitry, co-packaged optics and AI-optimized fabrics.

Built on the Spectrum-6 architecture, Spectrum-X Ethernet Photonics co-packaged optical switch systems deliver 10x greater reliability and 5x longer uptime for AI applications while achieving 5x better power efficiency, maximizing performance per watt compared with traditional methods. Spectrum-XGS Ethernet technology, part of the Spectrum-X Ethernet platform, enables facilities separated by hundreds of kilometers and more to function as a single AI environment. NVIDIA Rubin is in full production, and Rubin-based products will be available from partners the second half of 2026.

Among the first cloud providers to deploy Vera Rubin-based instances in 2026 will be AWS, Google Cloud, Microsoft and OCI, as well as NVIDIA Cloud Partners CoreWeave, Lambda, Nebius and Nscale. Microsoft will deploy NVIDIA Vera Rubin NVL72 rack-scale systems as part of next-generation AI data centers, including future Fairwater AI superfactory sites. CoreWeave will integrate NVIDIA Rubin-based systems into its AI cloud platform beginning in the second half of 2026.

Cisco, Dell, HPE, Lenovo and Supermicro are expected to deliver a wide range of servers based on Rubin products. AI labs including Anthropic, Black Forest, Cohere, Cursor, Harvey, Meta, Mistral AI, OpenAI, OpenEvidence, Perplexity, Runway, Thinking Machines Lab and xAI are looking to the NVIDIA Rubin platform to train larger, more capable models and to serve long-context, multimodal systems at lower latency and cost than with prior GPU generations. Infrastructure software and storage partners AIC, Canonical, Cloudian, DDN, Dell, HPE, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, Supermicro, SUSE, VAST Data and WEKA are working with NVIDIA to design next-generation platforms for Rubin infrastructure.

The Rubin platform marks NVIDIA?s third-generation rack-scale architecture, with more than 80 NVIDIA MGX ecosystem partners. Red Hat announced an expanded collaboration with NVIDIA to deliver a complete AI stack optimized for the NVIDIA Rubin platform with Red Hat?s hybrid cloud portfolio, including Red Hat Enterprise Linux, Red Hat OpenShift and Red Hat AI.