OpenAI chip deal with Cerebras adds to roster of Nvidia, AMD, Broadcom

In November, following Nvidia’s latest earnings beat, CEO Jensen Huang boasted to investors about his company’s position in artificial intelligence and said about the hottest startup in the space, “Everything that OpenAI does runs on Nvidia today.”

While it’s true that Nvidia maintains a dominant position in AI chips and is now the most valuable company in the world, competition is emerging, and OpenAI is doing everything it can to diversify as it pursues a historically aggressive expansion plan.

On Wednesday, OpenAI announced a $10 billion deal with chipmaker Cerebras, a relatively nascent player in the space but one that’s angling for the public market. It was the latest in a string of deals between OpenAI and the companies making the processors needed to build large language models and run increasingly sophisticated workloads.

Last year, OpenAI committed more than $1.4 trillion to infrastructure deals with companies including Nvidia, Advanced Micro Devices and Broadcom, en route to commanding a $500 billion private market valuation.

As OpenAI races to meet anticipated demand for its AI technology, it has signaled to the market that it wants as much processing power as it can find. Here are the major chip deals that OpenAI has signed as of January, and potential partners to keep an eye on in the future.

Nvidia 

Since its early days building out large language models, long before the launch of ChatGPT and the start of the generative AI boom, OpenAI has relied on Nvidia’s graphics processing units.

In 2025, that relationship went to another level. Following an investment in OpenAI in late 2024, Nvidia announced in September that it would commit $100 billion to support OpenAI as it builds and deploys at least 10 gigawatts of Nvidia systems. 

A gigawatt is a measure of power, and 10 gigawatts is roughly equivalent to the annual power consumption of 8 million U.S. households, according to a CNBC analysis of data from the Energy Information Administration. Huang said in September that 10 gigawatts will equate to between 4 million and 5 million GPUs. 

“This is a giant project,” Huang told CNBC at the time. 

OpenAI and Nvidia said the first phase of the project is expected to come online in the second half of this year on Nvidia’s Vera Rubin platform. However, during Nvidia’s quarterly earnings call in November, the company said there is “no assurance” that its agreement with OpenAI will progress beyond an announcement and to an official contract stage. 

Nvidia’s first investment of $10 billion will be deployed when the first gigawatt is completed, and investments will…