One startup scored 1GW of Nvidia chips
An unnamed AI startup reportedly secured 1 gigawatt of NVIDIA AI chips to train large models, according to social reporting reported. Deals at that scale are reshaping market expectations for capacity availability and partner relationships.
Thinking Machines Lab announced(thinkingmachines.ai) a multi‑year strategic partnership with NVIDIA to deploy at least one gigawatt of next‑generation Vera Rubin systems. NVIDIA’s announcement said(blogs.nvidia.com) the partnership includes a “significant” equity investment from NVIDIA and that the Vera Rubin deployment is targeted to begin in early 2027.(techcrunch.com) Thinking Machines closed a roughly $2 billion seed round led by Andreessen Horowitz in July 2025 and was reported to carry about a $12 billion valuation at the time.(techcrunch.com) Public reporting and the companies’ statements specify the agreement covers joint work to co‑design training and serving systems optimized for NVIDIA’s architecture, not just bulk chip supply.(techcrunch.com) Reuters described the arrangement as one of the largest publicly disclosed compute commitments to date and noted financial terms beyond NVIDIA’s investment were not disclosed.(techstartups.com) Thinking Machines’ seed round included participation from NVIDIA and AMD among other strategic investors, underscoring the startup’s multi‑vendor backer base ahead of the gigawatt deployment.(economictimes.indiatimes.com)
