AI Startups

Thinking Machines Lab inks massive compute deal with Nvidia

Published byAIDaily Editorial Team
3 min read
Original source author: Rebecca Szkutak

The multi-year deal involves at least a gigawatt of compute power and also includes a strategic investment from Nvidia.

Share:

OpenAI co-founder Mira Murati’s two-year-old AI research lab has signed a sizable deal with semiconductor giant Nvidia.

Murati’s Thinking Machines Lab announced it entered into a multi-year strategic partnership with AI semiconductor giant Nvidia on Tuesday. The size of the deal was not disclosed and includes the AI research lab deploying at least one gigawatt of Nvidia’s Vera Rubin systems , which was released earlier this year, starting in 2027.

Nvidia is also making a strategic investment in Thinking Machines Lab, which has raised more than $2 billion since its February 2025 founding from investors including Andreessen Horowitz, Accel, and Nvidia, among others, including rival chipmaker AMD’s venture arm.

The seed-stage company is valued at more than $12 billion and is working to build AI models that create reproducible results. The company released its first product, an API called Tinker, in October.

TechCrunch reached out to Thinking Machines Lab and Nvidia for more information regarding the specifics surrounding the deal terms and investment. Thinking Machines Lab declined to comment beyond the release.

The partnership also includes a commitment to develop training and serving systems for Nvidia architecture, according to an Nvidia press release.

“Nvidia’s technology is the foundation on which the entire field is built,” Murati said in the deal’s blog post. “This partnership accelerates our capacity to build AI that people can shape and make their own, as it shapes human potential in turn.”

Thinking Machines Lab has seen a number of recent high-profile exits in its young history. The company’s co-founder, Andrew Tulloch, left the startup for a role at Meta in October. Earlier this year, three additional co-founders , Barret Zoph, Luke Metz, and Sam Schoenholz, left to return to OpenAI.

This deal comes as AI companies remain hungry for any compute that they can get. Nvidia CEO Jensen Huang predicted that companies could spend $3 trillion to $4 trillion on AI infrastructure by the end of the decade.

While we don’t know the value of this specific deal, it’s believable. In 2025, rival OpenAI allegedly inked a historic $300 billion compute deal with Oracle .

Updated after publication to correct that Thinking Machines released its product Tinker last fall.

Actively scaling? Fundraising? Planning your next launch? TechCrunch Founder Summit 2026 delivers tactical playbooks and direct access to 1,000+ founders and investors who are building, backing, and closing. Register by March 13 to save up to $300.

Subscribe for the industry’s biggest tech news

AI Yann LeCun’s AMI Labs raises $1.03B to build world models Anna Heim 22 hours ago

Yann LeCun’s AMI Labs raises $1.03B to build world models

AI Qualcomm’s partnership with Neura Robotics is just the beginning Rebecca Szkutak 1 day ago

Qualcomm’s partnership with Neura Robotics is just the beginning

AI Sandberg, Clegg join Nscale board as this ‘Stargate Norway’ startup hits $14.6B valuation Anna Heim 1 day ago

Sandberg, Clegg join Nscale board as this ‘Stargate Norway’ startup hits $14.6B valuation

Apps Google brings Gemini in Chrome to India Ivan Mehta 21 minutes ago

AI Amazon launches its healthcare AI assistant on its website and app Aisha Malik 7 hours ago

Amazon launches its healthcare AI assistant on its website and app

Apps AI-powered apps struggle with long-term retention, new report shows Sarah Perez 8 hours ago

AI-powered apps struggle with long-term retention, new report shows

What this coverage includes

  • Clear source attribution and link to the original publication.
  • Editorial framing about relevance, impact, and likely next developments.
  • Review for readability, context, and duplication before publication.

Original source:

TechCrunch AI

About this article

This article was curated and published by AIDaily as part of our editorial coverage of artificial intelligence developments. The content is based on the original source cited below, enriched with editorial context and analysis. Automated tools may assist with translation and initial structuring, but publication decisions, factual review, and contextual framing remain editorial responsibilities.

Learn more about our editorial process