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NVIDIA kicks off next generation of AI with Rubin

“Rubin arrives at exactly the right moment, as AI computing demand for both training and inference is going through the roof,” said Jensen Huang, founder and CEO of NVIDIA. “With our annual cadence of delivering a new generation of AI supercomputers — and extreme codesign across six new chips — Rubin takes a giant leap toward the next frontier of AI.”

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 SwitchNVIDIA ConnectX-9 SuperNICNVIDIA BlueField-4 DPU and NVIDIA Spectrum-6 Ethernet Switch — to slash training time and inference token costs.

“Rubin arrives at exactly the right moment, as AI computing demand for both training and inference is going through the roof,” said Jensen Huang, founder and CEO of NVIDIA. “With our annual cadence of delivering a new generation of AI supercomputers — and extreme codesign across six new chips — Rubin takes a giant leap toward the next frontier of AI.”

Named for Vera Florence Cooper Rubin — the trailblazing American astronomer whose discoveries transformed humanity’s understanding of the universe — 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.

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Broad Ecosystem Support

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.

Rubin Readiness

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.

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Microsoft will deploy NVIDIA Vera Rubin NVL72 rack-scale systems as part of next-generation AI data centers, including future Fairwater AI superfactory sites.

Designed to deliver unprecedented efficiency and performance for training and inference workloads, the Rubin platform will provide the foundation for Microsoft’s next-generation cloud AI capabilities. Microsoft Azure will offer a tightly optimized platform enabling customers to accelerate innovation across enterprise, research and consumer applications.

CoreWeave will integrate NVIDIA Rubin-based systems into its AI cloud platform beginning in the second half of 2026. CoreWeave is built to operate multiple architectures side by side, enabling customers to bring Rubin into their environments, where it will deliver the greatest impact across training, inference and agentic workloads.

Together with NVIDIA, CoreWeave will help AI pioneers take advantage of Rubin’s advancements in reasoning and MoE models, while continuing to deliver the performance, operational reliability and scale required for production AI across the full lifecycle with CoreWeave Mission Control.

In addition, Cisco, Dell, HPE, Lenovo and Supermicro are expected to deliver a wide range of servers based on Rubin products.

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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.

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