🔍 Read the full analysis: OpenAI And Google’s TPU Chips: Exploring The Reported Possibility on ThorstenMeyerAI.com
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TL;DR
The Information and Bloomberg reported that OpenAI plans to buy Google’s AI chips, citing one person familiar with the matter each. Neither company has confirmed a deal, and its price, size and delivery schedule are unknown. OpenAI is already working with other chip suppliers, while Google has begun selling TPUs beyond its own data centers.
The Information and Bloomberg reported this week that OpenAI plans to buy Google’s tensor processing units (TPUs), potentially adding chips from its AI rival to its computing supply. Neither company has confirmed a deal, and the reported plan’s size, price and delivery timing remain unknown.
The Information reported the plan on October 27, citing one person familiar with the matter. Bloomberg reported it the following day, also citing one person. The available reports describe an intention to buy Google’s AI chips as part of OpenAI’s computing build-out, but do not establish that a purchase order has been signed. OpenAI declined to comment to Reuters, which relayed The Information’s report; Google did not comment to Reuters. Bloomberg’s report said final terms were not known.
There is evidence that OpenAI is preparing to work with TPUs, though it does not confirm a purchase. An OpenAI careers listing published October 20 sought a software engineer for TPU compilers, with responsibilities that include optimizing the company’s frontier models on TPUs. The listing shows active technical work, not a completed commercial agreement. OpenAI had also tested some TPUs through Google Cloud in 2025, Reuters reported at the time. The company then told Reuters it was in early testing and had no active plans to deploy them at scale.
The report comes as Google expands TPU access outside its own infrastructure. On its October 28 earnings call, Google said nearly 100 customers use TPUs, naming Anthropic and Apple, and discussed partnerships including Oracle. Oracle has said it plans to offer Google TPU capacity in its cloud from 2027. Those developments confirm that Google is making its chips available to outside customers; they do not confirm that OpenAI is among the buyers.
Infographic 01 · Reported, documented, confirmed
OpenAI and Google’s TPUs: what we actually know
The purchase itself is a report. The pieces around it, Google selling its chips and OpenAI hiring for them, are on the record.
- OpenAI plans to buy Google’s AI chipsReported
The Information, 27 October; Bloomberg, 28 October. Each cites one person familiar with the matter. OpenAI declined to comment; Google did not comment.
- OpenAI is hiring to optimize its frontier models on TPUsPrimary document
“Software Engineer, TPU Compilers”, posted on OpenAI’s careers page on 20 October 2026. A sign of serious work, not a purchase order.
- Google sells TPU systems into customers’ own data centersConfirmed
Announced on 29 April, first deliveries in the second quarter, “a meaningful revenue ramp in 2027” (Alphabet’s CFO, 28 October).
- Oracle will offer Google TPUs in its cloudConfirmed
The first cloud outside Google to do so. Available in calendar year 2027, ramping over several years.
- Price, number of chips, TPU generation, delivery dates, locationNot known
Nothing published. Not even whether the chips would sit in Google’s data centers, OpenAI’s or a partner’s.
How OpenAI and Google got here
- Jun 2025OpenAI rents Google TPUs, calls it early testingReuters: no active plans to deploy them at scale
- 29 Apr 2026Google: TPUs for customers’ own data centersAlphabet Q1 earnings call
- 20 Oct 2026OpenAI posts a TPU compiler jobOpenAI careers page
- 21 Oct 2026OpenAI models coming to Google CloudOpenAI announcement, as reported by Reuters
- 27 Oct 2026The Information reports the purchase plan; Oracle announces TPUsReported · Oracle press release
- 28 Oct 2026Bloomberg reports it too; Alphabet’s call does not mention OpenAIReported · Alphabet Q3 call
“Reported” means the outlets’ own reporting, which I could read only in part (paywalls). “Confirmed” means the company’s own statement or filing.
Sources: The Information via Reuters, 27 Oct 2026, Bloomberg, 28 Oct 2026, as cited by The Asia Business Daily, OpenAI careers, posted 20 Oct 2026, Reuters, 30 Jun 2025, Alphabet Q1 call, 29 Apr 2026, Q3 call, 28 Oct 2026, Oracle, 27 Oct 2026.
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More Chips Could Strengthen OpenAI’s Bargaining Position
If a deal proceeds, it would give OpenAI another potential source of computing capacity as demand for AI training and services grows. The importance may be less about immediately replacing one supplier than about having credible alternatives. A large buyer able to direct workloads to different chip platforms could have more leverage when negotiating prices, supply and delivery schedules. Whether that bargaining power produces lower costs or faster access is not established by the reports.
The potential arrangement also underscores a complicated relationship: Google competes with OpenAI in AI products while supplying cloud and computing services to companies in the same industry. OpenAI said on October 21 that its frontier models would be available through Google Cloud. A direct chip purchase, if confirmed, would extend that commercial overlap, but the precise relationship between any Google Cloud use and a possible TPU purchase is unknown.
For users of ChatGPT, there is no reported immediate change. The available information does not say when or where the chips would run, which models would use them, or whether they would affect product speed, availability or price. Any effect on those services remains speculative.
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OpenAI’s Chip Supply Is Already Diversifying
OpenAI’s computing plans are not limited to a reported Google arrangement. The source material lists previously announced or reported agreements involving Nvidia, AMD, Broadcom, Cerebras and Amazon. It gives figures of 10 gigawatts in an Nvidia letter of intent, 6 gigawatts with AMD, 10 gigawatts of OpenAI-designed chips through Broadcom, 750 megawatts with Cerebras and about 2 gigawatts of Amazon Trainium capacity. These figures refer to the arrangements described in the source; they do not show how many chips have been delivered, deployed or made available for use.
That history is why describing a Google deal as OpenAI’s first move away from Nvidia would be inaccurate. OpenAI had announced non-Nvidia chip plans before this week’s reports. The reported Google purchase would be another possible addition, and a notable one because Google is both a direct AI competitor and a chip supplier. Nvidia remains a major supplier; the reports do not say OpenAI is ending or reducing its Nvidia relationship.
Google’s shift from using TPUs primarily within its own operations to supplying outside customers is a separate, confirmed development. In April, Chief Executive Sundar Pichai said Google would begin delivering TPUs in hardware configurations to a select group of customers for use in their own data centers. Google later described customer uptake and partnerships on its earnings call. That change makes an external purchase by OpenAI plausible, but does not verify the reported transaction.
“OpenAI, a Longtime Nvidia Customer, Plans to Buy Google’s AI Chips”
— The Information, as described in its October 27 report
Deal Terms and Deployment Remain Unknown
As of November 1, neither OpenAI nor Google has publicly confirmed a purchase. The reports rely on one person familiar with the matter apiece, and the available material does not establish whether the two accounts draw on independent sources. No public information sets out the number or generation of TPUs, the price, a contract’s status, or when capacity might become available.
It is also unclear where the chips would operate: in Google’s data centers, in OpenAI’s own facilities, or through a cloud partner such as Oracle. The reports do not specify which OpenAI models or workloads might use them, whether any capacity would be for training or inference, or how much computing demand a potential deal could meet. OpenAI’s TPU hiring and its earlier testing are evidence of technical interest, not proof of purchase.
Finally, no source establishes what the reported plan would mean for OpenAI’s spending, its Nvidia orders, or the cost and performance of ChatGPT. Those outcomes depend on terms and deployment details that have not been disclosed.
Watch for Confirmation and Delivery Details
The next clear development would be a statement from either company or a disclosure providing the deal’s terms. Until then, the reported purchase should be treated as unconfirmed, not as a completed transaction. Any later announcement would need to clarify the chip quantity, hardware generation, delivery schedule and where the systems will run to show how substantial the arrangement is.
Separately, Oracle says it expects to offer Google TPUs in its cloud from 2027, while Google has said it is delivering hardware to selected customers. Those plans may provide further evidence of how widely TPUs are being deployed outside Google. They do not, by themselves, establish that OpenAI has committed to use them.
For now, there is no announced change for ChatGPT users. If a purchase is confirmed and deployed, its effect on OpenAI’s computing capacity will depend on the scale and timing of the rollout; any impact on service speed, availability or pricing remains unknown.
Key Questions
Has OpenAI confirmed that it will buy Google TPUs?
No. The Information and Bloomberg reported a plan, but neither OpenAI nor Google has publicly confirmed a purchase as of November 1, 2026.
What is a TPU?
A tensor processing unit is a chip Google designs for AI and other computing workloads. Google has begun supplying TPUs to selected customers outside its own data centers.
Does this mean OpenAI is moving away from Nvidia?
The reports do not say OpenAI is ending or reducing its Nvidia relationship. OpenAI has already announced other non-Nvidia chip arrangements, and a potential Google deal would be another possible source of computing capacity.
Could this change ChatGPT’s price or performance?
There is no confirmed information linking the reported plan to ChatGPT’s price, speed or availability. The purchase itself, its scale and its deployment schedule remain unknown.
Source: ThorstenMeyerAI.com
