Nvidia Strikes Major AI Chip Deal With Mira Murati’s Thinking Machines Lab

Adrian Schimpf • March 10th, 2026

Another fail? Or finally a win?

Nvidia Partners With Thinking Machines Lab in Major AI Infrastructure Deal

 

Nvidia announced a new partnership with artificial intelligence startup Thinking Machines Lab that will involve supplying more than one gigawatt of next generation AI chips, further expanding the company’s role at the center of the global AI infrastructure race.

 

Under the agreement, Nvidia will provide its upcoming Vera Rubin architecture processors, which are expected to be deployed beginning early next year.

 

The companies also said they will collaborate on building large scale systems designed to train and deploy advanced artificial intelligence models for enterprises, research institutions, and scientific organizations.

Thinking Machines Lab Led by Former OpenAI Executive

 

Thinking Machines Lab was founded in 2025 by Mira Murati, the former Chief Technology Officer of OpenAI.

 

Murati briefly served as interim CEO of OpenAI during the leadership turmoil in 2023 when the company’s board temporarily removed Sam Altman. Altman was later reinstated after widespread backlash from employees and investors.

 

Following her departure from OpenAI in 2024, Murati launched Thinking Machines with the goal of developing advanced AI systems that can be deployed across both commercial and research environments.

 

Murati described Nvidia’s technology as foundational to the modern AI ecosystem.

 

“Nvidia’s technology is the foundation on which the entire field is built,” she said in a statement announcing the partnership.

Massive AI Compute Power

 

The scale of the agreement reflects the enormous computing requirements associated with training modern artificial intelligence models.

 

A gigawatt scale AI cluster represents an enormous amount of computing power and electricity demand, comparable to the energy consumption of large industrial facilities.

 

These types of systems are required to train large language models, scientific simulations, and next generation AI systems that rely on massive amounts of data and computational resources.

 

The partnership also includes collaboration on building training and inference systems optimized for Nvidia’s architecture, allowing organizations to deploy advanced AI applications more efficiently.

Nvidia Continues Aggressive AI Expansion

 

The deal is part of a broader push by Nvidia to expand its presence across the artificial intelligence ecosystem.

 

The company has recently announced multiple partnerships aimed at strengthening the infrastructure needed to power the next generation of AI development.

 

Earlier this month, Nvidia revealed agreements with optical technology companies Coherent and Lumentum to develop advanced networking systems required for large scale AI data centers.

 

In February, the company also announced a multiyear partnership with Meta focused on expanding AI computing infrastructure.

 

OpenAI has similarly disclosed that Nvidia plans to invest $30 billion as part of the company’s $110 billion fundraising round, underscoring the deep financial ties emerging between AI developers and semiconductor suppliers.

Debate Over “Circular Investment” in AI

 

Some analysts have raised concerns about what has become known as circular investment within the AI industry.

 

Under this model, chip manufacturers such as Nvidia invest capital into artificial intelligence startups, which then use the funding to purchase large volumes of processors and computing infrastructure from those same chipmakers.

 

Critics argue that this dynamic could artificially inflate demand for AI hardware.

 

However, Nvidia and other companies involved in the industry have rejected that characterization, arguing that demand for AI computing power is already driven by real world applications and rapidly expanding adoption across multiple sectors.

 

Nvidia’s Financial Performance Reflects AI Boom

 

Nvidia’s recent financial results highlight the extraordinary growth driven by demand for AI infrastructure.

 

The company reported earnings per share of $1.30 on revenue of $57 billion in its latest quarterly results, significantly exceeding analyst expectations.

 

Much of that growth came from Nvidia’s data center division, which generated approximately $51.2 billion in revenue, far above Wall Street forecasts.

 

The company also issued strong guidance for the upcoming quarter, projecting revenue of roughly $65 billion, again surpassing market expectations.

Overall

 

The partnership between Nvidia and Thinking Machines Lab highlights the accelerating race to build the infrastructure required to power the next generation of artificial intelligence systems.

 

As demand for AI computing continues to surge, collaborations between semiconductor companies and AI developers are becoming increasingly central to the industry’s growth.

 

With massive investments flowing into new data centers, advanced chips, and AI startups, the scale of computing power required for future AI models is rapidly expanding.

 

For Nvidia, deals like this further cement its position as the critical hardware provider powering the global AI revolution.

Data & Methodology:

 

Bloomberg

Finance Yahoo

Sam Altman

Daniel Howley

 

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