The NVIDIA accelerator generation after Blackwell. Its NVL72 rack is the design SpaceX’s first satellites are to carry. Chapters 5, 13.
From The AI Compute Race. Read the book
Where the book uses it
- Chapter 5 — The Island in Every Machine
Why every accelerator runs through Taiwan: the foundry, the packaging and the memory that are booked years ahead, and what that does to anyone arriving late with cash.
- Chapter 13 — A Change of Landlord
The two proposed escapes from the constraints, the Gulf and orbit, and which constraints each actually removes.
Sources that use it
- Harsh Singh Banwait, “NVIDIA Vera Rubin NVL72 on CoreWeave: 10x More Tokens Per Megawatt Than Blackwell,” CoreWeave blog, 21 July 2026 (CoreWeave’s own measurement, on DeepSeek R1: “At a matched interactivity target, Vera Rubin NVL72 generated 10x tokens-per-second per megawatt compared to NVIDIA GB200 NVL72 on the same DeepSeek R1 workload”; the conditions, “with all major, state-of-the-art inference optimizations turned on,” among them “large-scale expert parallelism, NVFP4 precision, multi-token prediction, and disaggregated prefill and decode”; the page’s other wording of the result, “up to 10x higher tokens per megawatt”; what it means for customers, in the company’s words: “run far more reasoning-model traffic within the same power budget or run the same traffic on far less power”; CoreWeave sells the capacity it measured, and NVIDIA’s blog of the same day relays the figure as its own platform’s; the comparison on both systems, “This evaluation compares the performance on each platform with all major, state-of-the-art inference optimizations turned on”; read in the page as served in October 2026, which carries its publication date). In the Sources
- Microsoft, NVIDIA and Anthropic, “Microsoft, NVIDIA and Anthropic announce strategic partnerships,” joint announcement published simultaneously on all three newsrooms, 18 November 2025 (Anthropic “has committed to purchase $30 billion of Azure compute capacity and to contract additional compute capacity up to one gigawatt”; “Anthropic’s compute commitment will initially be up to one gigawatt of compute capacity with NVIDIA Grace Blackwell and Vera Rubin systems”; “NVIDIA and Microsoft are committing to invest up to $10 billion and up to $5 billion respectively in Anthropic”; no term is stated for the $30 billion; Anthropic’s copy alone closes “Amazon remains Anthropic’s primary cloud provider and training partner”, and NVIDIA’s alone writes “Microsoft Azure AI Foundry” where the other two write “Microsoft Foundry”). In the Sources
- NVIDIA Newsroom, “SpaceXAI Adopts NVIDIA Vera CPU to Accelerate Agentic AI at Massive Scale,” 24 August 2026 (the first-generation Starmind AI satellite “based on an optimized NVIDIA Vera Rubin NVL72 system”; the Vera CPUs are for SpaceXAI’s terrestrial agentic workloads — the register said until 11 September 2026 that the orbital design ran on the Vera CPU, which the release does not say). In the Sources
- NVIDIA, “NVIDIA Vera Rubin Opens Agentic AI Frontier,” keynote press release, 16 March 2026 (it does not carry the live blog’s figure — its three uses of “trillion” are all “trillion-parameter”). In the Sources
- Starcloud, “Starcloud Raises $250 Million at $2.3 Billion Valuation to Scale AI with Orbital Data Centers,” Business Wire, 21 August 2026 (total raised $450 million; 88,000-satellite / 20 GW vision; NVIDIA Space-1 Vera Rubin Module collaboration; “The funding brings Starcloud’s total capital raised to $450 million since its founding in 2024.”). In the Sources
And 4 more: search the Sources.
Related terms
From the glossary of The AI Compute Race.
How to cite this page
Dryburgh, Lee S. “Vera Rubin.” In The AI Compute Race. DRYBURGH. https://dryburgh.com/vol1/glossary/vera-rubin (accessed 2026-11-01).
BibTeX
@misc{dryburgh-vera-rubin-2026,
author = {Dryburgh, Lee S.},
title = {{Vera Rubin}},
howpublished = {In \emph{The AI Compute Race}, DRYBURGH},
year = {2026},
url = {https://dryburgh.com/vol1/glossary/vera-rubin},
note = {Accessed 2026-11-01}
}