🔍 Read the full analysis: A Reported OpenAI Move Toward Google TPUs Puts Nvidia In The Spotlight on ThorstenMeyerAI.com
Prime made for students and young adults
- Fast, free delivery for dorm and study essentials
- Prime Video and Amazon Music included
- Member-only deals
TL;DR
The Information and Bloomberg reported that OpenAI plans to buy Google’s tensor processing units, or TPUs, but neither company has confirmed a deal. OpenAI’s TPU hiring and Google’s expansion of external chip sales add context, while the number of chips, cost and delivery schedule remain unknown.
The Information and Bloomberg reported on October 27 and 28 that OpenAI plans to buy Google’s AI chips, but neither company has confirmed a purchase. The reports, each citing one person familiar with the matter, put a potential new supplier in focus for OpenAI and raise questions about competition with Nvidia, which remains a major source of AI computing hardware.
OpenAI declined to comment on the report, while Google did not comment, according to the source material. The reports do not establish whether the companies have reached an agreement. No public information is available about pricing, chip quantities, delivery dates or which TPU generation might be involved.
There is evidence OpenAI is preparing to work with the technology: a job listing on its careers page, posted October 20, seeks a Software Engineer, TPU Compilers to optimize its frontier models on TPUs. That points to active engineering work, but does not confirm a purchase or large-scale deployment.
The reports come amid a broader expansion of OpenAI’s chip relationships. The source material lists announced arrangements involving AMD, Broadcom, Cerebras and Amazon, alongside Nvidia. Those announcements involve different kinds of chips and commitments; they do not show that each supplier is already delivering hardware at scale. If confirmed, Google would add another potential source of computing capacity.
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.
Powered by Thorsten Meyer AI
More Chip Options, More Leverage
A deal could matter because advanced AI development requires large amounts of computing capacity, and access to chips can affect how quickly companies train and serve models. A credible alternative to Nvidia hardware may give OpenAI more flexibility in planning capacity and negotiating supply, pricing or delivery schedules. Those are potential effects, not confirmed results of the reported plan.
The implications also extend to Google. The company is moving TPUs beyond its own data centers and cloud service, positioning them as a product for outside customers. Selling to OpenAI would mean supplying a company that competes with Google in AI services, while also expanding Google’s chip business. The commercial relationship and competition would coexist; the report does not indicate any change in either company’s products.
For people using ChatGPT, there is no reported immediate change to access, speed or price. The source material says many of OpenAI’s other chip arrangements are expected to arrive in 2027 or later, but it provides no schedule for any Google hardware. Any effect on users would depend on whether a deal is completed, how much capacity it adds, and how OpenAI deploys it.
Products Worth Considering
Apple MacBook Air 13-inch with M5 chip, 16GB memory, 1TB SSD, and 12MP Center Stage camera (Midnight)
Amazon Kindle Paperwhite (12th Generation, 2024), 16 GB, 7-inch Display, Jade
Bose QuietComfort Ultra Wireless Noise-Cancelling Headphones with Spatial Audio, Black
As an affiliate, we earn on qualifying purchases.
Google Opens TPU Sales Beyond Cloud
Google has historically used TPUs in its own data centers and made them available to customers through Google Cloud. The source material says the company began delivering TPU systems to selected customers for use in their own data centers in 2026. On its April 29 earnings call, chief executive Sundar Pichai said Google would begin those deliveries as demand grew among AI labs and other customers.
Google’s October 28 earnings call, as described in the source material, said nearly 100 customers use TPUs and named Anthropic and Apple. Google also announced partnerships with Oracle and Crux AI. Oracle plans to offer Google TPUs through its cloud from 2027, broadening access beyond Google’s own infrastructure.
OpenAI has had earlier, limited contact with the chips. Reuters reported in June 2025 that OpenAI had started renting Google TPUs through Google Cloud. OpenAI then told Reuters it was in early testing and had no active plans to deploy TPUs at scale. On October 21, 2026, OpenAI said its frontier models would be available through Google Cloud. These developments show growing business ties, but do not establish that the new purchase report is accurate.
“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 the company’s April 29, 2026 earnings call
Deal Terms Remain Unreported
The central claim remains unconfirmed by OpenAI and Google. The Information and Bloomberg each cited one person familiar with the matter, but the public reporting described here does not include a contract, company announcement or independently disclosed order.
It is not clear whether the plan refers to a finalized agreement, negotiations or an intention that could change. The chip count, model, price, delivery schedule and deployment location have not been disclosed. Nor is it known whether any chips would run in Google’s facilities, OpenAI’s own data centers or a partner’s infrastructure.
The scale and practical impact are also unknown. A job posting indicates TPU-related work, and earlier testing has been reported, but neither establishes how much of OpenAI’s computing workload could run on Google hardware. Claims that the report marks OpenAI’s first move away from Nvidia are inaccurate: the source material describes several non-Nvidia arrangements announced before this report.
Watch for a Confirmed Agreement
The next clear development would be a statement from OpenAI or Google, or a further report establishing whether a deal has been signed. Any announcement with volume, pricing, chip generation and delivery timing would help distinguish a small deployment from a material addition to OpenAI’s computing capacity.
Google’s planned 2027 TPU availability through Oracle is another milestone to watch, though it is separate from the reported OpenAI plan. Until more information is disclosed, the safest reading is that OpenAI’s interest has been reported, not confirmed, and there is no stated change to ChatGPT for users.
Key Questions
Has OpenAI confirmed that it will buy Google TPUs?
No. The Information and Bloomberg reported the plan, but the source material says OpenAI declined to comment and Google did not comment. No public agreement has been confirmed.
What are Google TPUs?
TPUs, or tensor processing units, are AI chips designed by Google. Google uses them in its data centers and offers access through Google Cloud; it has also begun supplying selected customers with systems for their own data centers.
Does OpenAI’s TPU job listing prove it has placed an order?
No. The October 20 listing seeks an engineer to optimize models on TPUs, which indicates technical work. It does not establish that OpenAI bought chips or agreed to deploy them at scale.
Would a Google TPU deal end OpenAI’s reliance on Nvidia?
That cannot be concluded from the report. OpenAI has other announced chip arrangements, but Nvidia remains a major supplier. The size and role of any Google TPU deployment have not been disclosed.
Will this change ChatGPT for users now?
No immediate user change has been reported. The deal itself is unconfirmed, and no information has been provided about effects on ChatGPT’s price, speed or availability.
Source: ThorstenMeyerAI.com
