Thinking Machines Lab Signs Multibillion-Dollar Cloud Deal with Google, Gains Access to Nvidia GB300 Chips

Thinking Machines Lab signed a multibillion-dollar cloud deal with Google, gaining access to Nvidia’s latest GB300 chips and becoming one of the first startups to run on the hardware. The agreement was announced on Tuesday at Google Cloud Next. TechCrunch reported that the deal follows an earlier partnership between Thinking Machines Lab and Nvidia, placing the startup in the same infrastructure tier as Anthropic and Meta.

Weiyao Wang, who spent eight years at Meta after college helping build multimodal perception systems and contributing to open-world segmentation projects including SAM3D, had his final day at Meta last week. He then joined Thinking Machines Lab.

A review of LinkedIn profiles shows Thinking Machines Lab has been hiring more researchers from Meta than from any other single employer. Soumith Chintala, who spent 11 years at Meta and co-founded PyTorch, left Meta in late 2025 and was appointed CTO of Thinking Machines Lab earlier this year.

Piotr Dollár, who spent 11 years at Meta as research director and co-authored the Segment Anything model, is now on Thinking Machines Lab’s technical staff.

Business Insider reported last week that Meta has poached seven of Thinking Machines Lab’s founding members.

Meta held talks to acquire Thinking Machines Lab around this time last year. Thinking Machines Lab has drawn talent from beyond Meta as well.

Jeffrey Tao came to Thinking Machines Lab via Waymo, Windsurf, and OpenAI. Muhammad Maaz previously held a research fellowship at Anthropic. Erik Wijmans arrived at Thinking Machines Lab from Apple. Liliang Ren spent two and a half years on Microsoft’s AI Superintelligence team pre-training OpenAI models for code before joining Thinking Machines Lab in March.