NVIDIA Vera Rubin ramps full production; 10x token throughput vs Blackwell, Q3 2026 deployments
NVIDIA announced on July 21 that the Vera Rubin platform is ramping into full production, with initial deployments underway at major cloud providers including Microsoft Azure, Google Cloud, AWS, and Oracle Cloud Infrastructure. Vera Rubin pairs an 88-core Arm-based Vera CPU with Rubin GPUs and NVLink 6 networking in a rack-scale architecture, delivering 3.5x training performance over Blackwell and 10x agent token throughput at scale. The NVL72 configuration bundles 72 Rubin GPUs, each with 288GB of HBM4 memory, into a single system optimized for agentic AI, reasoning, and mixture-of-experts inference workloads.
TSMC has begun mass production of Vera Rubin chips on the 3nm process, with Foxconn, Quanta, and Wistron ramping full-scale ODM production in the second half of 2026. SK Hynix's 192GB SOCAMM2 HBM memory, offering 2x the bandwidth of traditional RDIMM, has entered mass production. Volume shipments are on track for Q3 2026, with Microsoft committing the Vera Rubin NVL72 to its Fairwater AI superfactory sites and CoreWeave offering Vera-based instances in its AI cloud platform. Jensen Huang stated the platform is designed to deliver 40 million times current computing power over the next decade, with a potential market scale reaching trillions of dollars.
For architects planning 2026–2027 data center builds, Vera Rubin marks the inflection from Blackwell-era capacity constraints to genuine supply availability. The platform is 100% liquid-cooled—direct-to-chip liquid cooling at 45-degree hot water is now a baseline requirement, not an option. Installation time dropped from two days to two hours per rack. Teams must validate power, cooling, and networking infrastructure now; the window to commit orders for Q3 2026 availability is closing. This is not a modest incremental update; it is a full POD-scale redesign.