Stock Markets March 10, 2026

NVIDIA and Thinking Machines Forge Gigawatt-Scale AI Infrastructure Alliance

Multi-year deal will deploy at least one gigawatt of Vera Rubin systems and include a substantial NVIDIA investment in Mira Murati’s startup

By Derek Hwang NVDA
NVIDIA and Thinking Machines Forge Gigawatt-Scale AI Infrastructure Alliance
NVDA

NVIDIA and Mira Murati’s Thinking Machines Lab have announced a multi-year strategic partnership that commits to deploying at least one gigawatt of next-generation Vera Rubin systems. The agreement pairs hardware deployment with a significant NVIDIA investment to support Thinking Machines’ growth and research, and will underpin the startup’s efforts to scale training of frontier models and expand enterprise and scientific access to open models.

Key Points

  • Partnership commits to deploying at least one gigawatt of Vera Rubin systems to support training of frontier AI models - impacts AI infrastructure and cloud compute sectors.
  • Deal pairs hardware deployment with a significant NVIDIA investment to back Thinking Machines’ long-term growth and research - impacts venture-backed AI startups and semiconductor vendors.
  • Thinking Machines will use NVIDIA architectures to enhance its Tinker fine-tuning API and expand enterprise and scientific access to open models - impacts enterprise AI adoption and scientific computing communities.

NVIDIA and Thinking Machines Lab, the public benefit corporation founded by Mira Murati in early 2025, have entered a multi-year strategic partnership to deploy a minimum of one gigawatt of Vera Rubin systems, the companies said in a joint announcement Tuesday. The collaboration couples large-scale hardware deployment with a significant capital commitment from NVIDIA intended to support Thinking Machines’ long-term growth and research agenda.

The project is designed to supply the compute necessary for training frontier AI models and to offer highly scalable, customizable AI platforms. Thinking Machines plans to run NVIDIA architectures to power core offerings such as its "Tinker" fine-tuning API and other human-AI interaction tools, expanding access to open models for both enterprise customers and the scientific community.

Thinking Machines, which Murati launched as a public benefit corporation in early 2025 after serving as chief technology officer at OpenAI, has moved rapidly in its first months. The startup previously raised a $2 billion seed round that placed its valuation at $12 billion shortly after its founding.

Jensen Huang, founder and chief executive officer of NVIDIA, described the company’s large hardware commitment as a response to the accelerating need for computing capacity to advance AI. He emphasized the importance of the team that Murati has assembled in pushing the field forward.

Murati said the alliance provides foundational technology and capacity to help build AI systems that are both understandable and collaborative, and that NVIDIA’s platforms form the underlying infrastructure on which much of the field is built. The partnership is explicitly focused on designing specialized training and serving systems at scale while broadening access to open models.

NVIDIA has not yet responded to requests for comment. NVIDIA’s stock was up 1.7% in late morning trade.


Context on business and product focus

  • The agreement centers on deploying Vera Rubin systems at gigawatt scale to support training of frontier models and on creating customizable AI platforms.
  • Thinking Machines will use NVIDIA architectures to enhance its Tinker fine-tuning API and other human-AI interaction tools.
  • The deal includes a substantial NVIDIA investment to support the startup’s long-term growth and research capabilities.

Additional commercial note

The announcement follows Thinking Machines’ large seed raise and rapid valuation, reinforcing the company’s positioning as a well-funded entrant into the AI infrastructure space.

About market signals

Market reaction to the announcement included a rise in NVIDIA’s share price during late morning trading.


Disclosure

No additional disclosure provided.

Risks

  • Timing and execution uncertainty for deploying gigawatt-scale Vera Rubin systems - impacts AI infrastructure and cloud compute sectors.
  • Dependence on NVIDIA technology and the specifics of the undisclosed investment - impacts hardware suppliers and the startup’s capital structure.
  • NVIDIA has not provided a public comment on the deal as of the announcement, leaving details and timeline unclear - impacts market transparency and investor assessment.

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