🔍 Read the full analysis: Could OpenAI Buy Google Chips As An Alternative To Nvidia? on ThorstenMeyerAI.com
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TL;DR
The Information and Bloomberg reported that OpenAI plans to buy Google’s tensor processing units, but neither company has confirmed an agreement. OpenAI’s TPU hiring and Google’s new sales to outside customers show the possibility is credible, while the deal’s scale, terms and timing remain unknown.
OpenAI is reported to be planning a purchase of Google’s tensor processing units, or TPUs, according to reports published by The Information on October 27 and Bloomberg the following day. Neither company has confirmed a deal, and no price, chip quantity or delivery schedule has been disclosed, leaving the reported plan short of a confirmed supplier agreement.
Both reports cited one person familiar with the matter. Reuters, relaying The Information’s report, said financial terms and other details could not be learned; it also reported that OpenAI declined to comment and Google did not immediately respond. Bloomberg likewise reported that final terms were not known. As of November 1, the reported purchase remains unconfirmed.
There is evidence that OpenAI is doing technical work on Google’s chips, though it does not establish that a purchase has been made. An OpenAI careers listing published on October 20 sought a software engineer specializing in TPU compilers to work on optimizing the company’s frontier models for TPUs. An earlier June 2025 listing for its accelerators team also mentioned experience with TPUs and other chip designs. Hiring for TPU expertise indicates preparation or evaluation, not a purchase order or a commitment to use the chips at scale.
The report comes as Google begins selling TPUs beyond its own data centers. On October 28, Google said nearly 100 customers use its TPUs, naming Anthropic and Apple, and announced partnerships with Oracle and Crux AI. Oracle plans to offer Google TPU capacity through its cloud starting in 2027. Google has also said it began delivering TPU systems for some customers’ own data centers in the second quarter of 2026.
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 Improve OpenAI’s Leverage
If OpenAI does add Google TPUs, the move could broaden its computing options and strengthen its negotiating position with chip and cloud suppliers. That is a potential effect, not a confirmed outcome: the reports do not specify how many chips OpenAI might buy, what workloads they would run or whether they would replace other capacity.
The possible deal would also put a notable supplier relationship between two companies that compete in AI services. OpenAI and Google compete in products including chatbots, but have also conducted business with each other: OpenAI said on October 21 it would make its frontier models available through Google Cloud. A TPU purchase would add another commercial link without changing their competitive relationship.
For customers, a larger set of viable AI chips could eventually affect cloud capacity, pricing and how quickly companies can secure computing power. But there is no evidence that the reported plan will lower ChatGPT prices or speed up the service. Any impact on users depends on a confirmed deal, deployment details and the performance of the chips on OpenAI’s workloads.
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Google’s TPUs Enter the Market
Google designed TPUs for its own data centers and has made them available to cloud customers. In April 2026, Chief Executive Sundar Pichai said the company would begin delivering TPU systems to a select group of customers for use in their own data centers. Google’s October update described additional customer and partner activity, marking an expansion beyond Google’s own infrastructure.
OpenAI has also pursued computing capacity beyond Nvidia. The source material lists announced arrangements involving AMD, Broadcom, Cerebras and Amazon, alongside a 2025 Nvidia letter of intent. Those arrangements differ in structure and timing, and should not be read as proof that each supplier is already delivering chips or that OpenAI has stopped relying on Nvidia. The reported Google plan would be another part of a broader effort to secure computing resources from multiple providers.
OpenAI’s TPU interest is not entirely new. Reuters reported in June 2025 that OpenAI had started renting Google’s TPUs through Google Cloud. OpenAI then told Reuters it was in early testing with some TPUs and had no active plans for deployment at scale. That earlier testing and the current hiring provide context for the new report, but neither confirms a 2026 purchase.
“As TPU demand grows from AI labs, capital markets firms, and high performance computing applications, we will begin to deliver TPUs to a select group of customers in their own data centers in a hardware configuration.”
— Sundar Pichai, Google chief executive, on Google’s first-quarter 2026 earnings call
Deal Size and Deployment Remain Unknown
The central uncertainty is whether OpenAI and Google have reached an agreement at all. The Information and Bloomberg both reported a plan, each citing one person familiar with the matter, but neither company has confirmed it. OpenAI declined to comment, and Google did not comment on the reports.
If an agreement exists, its key terms have not been made public. The number and generation of TPUs, the price, delivery dates, and the location where they would run are all unknown. It is also unclear whether OpenAI would rent capacity from Google, obtain chips for its own facilities or use a partner’s infrastructure. No public information establishes how much computing work, if any, would move from Nvidia or another supplier to TPUs.
Watch for Terms and Delivery Plans
The next clear evidence would be a statement from OpenAI or Google, or a public filing or business announcement that identifies a deal’s terms. Until then, the reporting should be treated as a reported plan rather than a completed purchase. Google’s stated 2027 start for Oracle’s TPU cloud offering is a separate timetable and does not establish when, or how, OpenAI might access the chips.
Any later disclosure about deployment could show whether TPUs are intended for testing, selected workloads or broader use. For now, there is no confirmed change to ChatGPT’s chips, availability, speed or price, and the reported development does not by itself mark an end to OpenAI’s use of Nvidia hardware.
Key Questions
Has OpenAI confirmed that it will buy Google’s TPUs?
No. The Information and Bloomberg reported a plan, but neither OpenAI nor Google has confirmed a purchase.
What are Google’s TPUs?
TPUs, or tensor processing units, are AI chips designed by Google. The company has used them in its data centers and is expanding sales and access for outside customers.
Does OpenAI’s TPU hiring prove there is a deal?
No. An October job listing sought an engineer to optimize models for TPUs, which shows technical work or preparation. It does not prove a purchase or large-scale deployment.
Would a Google TPU deal replace Nvidia chips at OpenAI?
That is not known. OpenAI has other reported or announced chip arrangements, and no public details say whether Google TPUs would replace, supplement or test alongside existing capacity.
Could the reported deal change ChatGPT’s price or speed?
There is no confirmed user-facing change. Any effect on ChatGPT would depend on whether a deal is completed, how the chips are deployed and what performance they deliver.
Source: ThorstenMeyerAI.com
