NVIDIA and Thinking Machines Lab unveiled a multi-year strategic partnership to deploy at least one gigawatt of next-generation Vera Rubin systems for frontier model training and scalable, customizable AI.

The deal follows Thinking Machines’ high-profile funding—about $2 billion from a seed round led by Nvidia and AMD consortium that valued the company at roughly $12 billion—though the latest investment’s effect on that valuation isn’t disclosed.

NVIDIA’s involvement extends beyond hardware supply to financing AI startups, continuing a pattern of investments in OpenAI and Anthropic that helps build a broader ecosystem of capital and hardware provisioning.

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A broader market context is provided by an IndexBox report on the global memories industry, covering demand, supply, trade, pricing, and regional dynamics to aid strategic planning.

Analyst sentiment appears bullish on the collaboration’s potential, with a strong buy rating and a price target around $275 for Nvidia, versus the current trading range in the high $170s.

NVIDIA shares moved modestly higher, rising just under 2% as markets digested the news.

There are no additional detailed figures, timelines, or specific project scopes provided in the excerpt.

Shacknews is cited as crediting coverage of the collaboration for its AI-generated content stance.

Murati’s visibility has risen, including a feature on CNBC’s Changemakers list this year.

NVIDIA’s stock context shows it trading around the $184 mark, near the top of its 52-week range and above the 200-day moving average, reflecting strong demand.

Despite leadership changes at Thinking Machines, the startup remains a high-profile AI research player.