OpenAI to Buy Google AI Chips

Introduction to OpenAI and Google AI Chips

OpenAI, a leading artificial intelligence company, reportedly plans to purchase Google's tensor processing units (TPUs) to reduce its dependence on Nvidia, according to a person familiar with the matter who spoke with The Information. This move would be a significant shift for OpenAI, as Nvidia currently supplies most of the hardware behind the AI boom.

The chips in question are Google's TPUs, processors designed specifically for the math that AI models run on. Google first revealed the chip in 2016 and has been using it in its data centers for over a year. OpenAI reportedly began renting Google's TPUs in June 2025, but a purchase would mean owning the hardware instead of paying Google by the hour.

Background and History

Google's TPUs have been in development for several years, with the first generation being announced in 2016. Since then, Google has continued to improve and update its TPU designs, with the latest eighth-generation TPUs being unveiled in April. These new TPUs, the 8t and 8i, are designed for training and inference, respectively, and offer improved performance and efficiency compared to previous generations.

Details of the Plan

Neither company has confirmed the plan, and the price, the number of chips, and the delivery dates have not been disclosed. However, a job listing from OpenAI in San Francisco asks for an engineer to lead the optimization of its frontier models on TPUs, which suggests that the rumors have weight. The work involves compilers, the software that translates an AI model into instructions a specific chip can run, which is why switching chips is harder than swapping parts.

Richard Ho, who leads OpenAI's hardware program, spent nearly nine years at Google and was one of the leaders of its Cloud TPU project before joining OpenAI. This experience could be beneficial in the potential acquisition and integration of Google's TPUs.

Nvidia's Current Involvement with OpenAI

In September 2025, Nvidia signed a letter of intent to invest up to $100 billion in OpenAI as it deployed at least 10 gigawatts of Nvidia systems. A gigawatt is a billion watts, the unit data center builders now use to size their projects. However, Nvidia ended up putting $30 billion into OpenAI's funding round, well below the $100 billion in the letter of intent.

CEO Jensen Huang said in March that it might be the last such investment before OpenAI goes public. This investment and the potential purchase of Google's TPUs could have significant implications for the future of OpenAI and its relationships with major tech companies.

OpenAI's Custom Chip, Jalapeño

In June, OpenAI unveiled Jalapeño, its first custom chip, built with Broadcom. It is designed for inference, the step where a trained model generates answers, with initial deployment planned for the end of 2026. This development could be seen as a move towards greater independence for OpenAI, as it reduces its reliance on third-party hardware.

Google's TPU Systems

Google unveiled two eighth-generation TPUs in April: the 8t for training AI models and the 8i for inference (running them). Its performance figures are measured against Google's previous-generation chip, Ironwood, not against Nvidia's hardware. Alphabet began delivering TPU systems to customers' own data centers in the second quarter, according to its CFO.

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Google Cloud also began offering OpenAI's GPT-6 models to select customers in private preview last week. This move could be seen as a strategic partnership between the two companies, with potential benefits for both parties.

Competitor Anthropic

Anthropic, OpenAI's main rival, signed an agreement with Google and Broadcom in April for multiple gigawatts of next-generation TPU capacity that it expects to come online starting in 2027. This development could lead to increased competition in the AI market, as companies invest in and develop their own custom hardware.

Implications for Readers in India

The potential purchase of Google's TPUs by OpenAI could have significant implications for the AI market in India. As AI technology continues to evolve, Indian companies may look to invest in custom hardware to stay competitive. Additionally, the development of AI models and chips could lead to new job opportunities and advancements in fields such as healthcare and finance.

What to Watch Next

As the AI market continues to evolve, it will be interesting to see how these developments impact the relationships between major tech companies and the future of artificial intelligence. Readers should keep an eye on announcements from OpenAI, Google, and Nvidia, as well as other companies in the AI space, to stay up-to-date on the latest developments.

• OpenAI plans to purchase Google's TPUs to reduce dependence on Nvidia.
• The price, the number of chips, and the delivery dates have not been disclosed.
• OpenAI unveiled its first custom chip, Jalapeño, built with Broadcom, with initial deployment planned for the end of 2026.
• Anthropic signed an agreement with Google and Broadcom for multiple gigawatts of next-generation TPU capacity.
• Indian companies may look to invest in custom hardware to stay competitive in the AI market.

With the AI market continuing to grow and evolve, it's an exciting time for companies and individuals involved in the space. As new developments and announcements are made, we can expect to see significant advancements in AI technology and its applications.