🔍 Read the full analysis: OpenAI’s Reported TPU Plans Raise A Big Question For Nvidia 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. Neither company confirmed a deal, and its price, size and timing are unknown. OpenAI’s TPU hiring and Google’s new chip sales provide context, but do not establish a purchase.
The Information and Bloomberg reported that OpenAI plans to buy Google’s tensor processing units, or TPUs, adding a potential new supplier to the AI company’s computing portfolio. The reports, published October 27 and 28 and each citing one person familiar with the matter, have not been confirmed by either company: OpenAI declined to comment, and Google did not comment.
The reports describe a plan, not a completed purchase or publicly announced agreement. No price, chip quantity, delivery schedule or TPU generation has been disclosed. It is also unclear whether any chips would run in Google’s data centers, in OpenAI’s own facilities or through a cloud partner. Bloomberg reported that final terms were not known; Reuters, relaying The Information’s report, also said financial and other details could not be learned.
There is evidence OpenAI is preparing to work with TPUs, though it does not prove a deal. An OpenAI careers listing posted October 20 sought a software engineer for TPU compilers and described work optimizing the company’s frontier models on the chips. A job posting indicates technical work and hiring, not a purchase order or deployment at scale.
Google has begun selling TPU systems beyond its own data centers. On its October 28 earnings call, the company said nearly 100 customers use TPUs and named Anthropic and Apple. Google also described partnerships with Oracle and Crux AI; Oracle has said it plans to offer Google TPUs through its cloud from 2027. Those developments establish that outside access is expanding, but do not confirm OpenAI as a customer.
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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A New Supplier Could Strengthen OpenAI’s Hand
If a purchase is eventually confirmed, it could give OpenAI another source of computing capacity as demand for AI training and services grows. The immediate competitive significance is not that Nvidia has been displaced: it remains a major supplier, and the reported TPU plan has no public terms. Rather, credible alternatives can give large buyers more room to negotiate on price, availability and delivery schedules.
That leverage may matter across the AI infrastructure market. Major chip orders shape how quickly cloud providers and AI companies can add computing capacity, while competition among chip suppliers can affect the options available to customers. But the report alone says nothing about whether OpenAI would move substantial workloads from Nvidia, or whether any resulting savings would reach users as lower prices or faster ChatGPT responses. No change for ChatGPT users has been announced.
The possible supplier relationship is also unusual because Google competes with OpenAI in AI products while selling infrastructure that OpenAI may want to use. That overlap makes the reported plan relevant beyond a standard hardware order: it would reflect a market where direct rivals can also be customers and suppliers.
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OpenAI’s Chip Portfolio Was Already Expanding
Any description of the TPU plan as OpenAI’s first move away from Nvidia would be inaccurate. The source material lists several previously announced arrangements: a 2025 Nvidia letter of intent covering 10 gigawatts, an AMD deal for 6 gigawatts, 10 gigawatts of Broadcom custom chips, 750 megawatts from Cerebras and about 2 gigawatts of Amazon Trainium. These figures refer to commitments or planned capacity as described in the source; they do not establish that all the systems are installed or operating.
OpenAI has had earlier, limited contact with Google TPUs. Reuters reported in June 2025 that OpenAI had started renting them through Google Cloud. At the time, OpenAI told Reuters it was in early testing with some TPUs and had no active plan to deploy them at scale. On October 21, 2026, OpenAI also said its frontier models would be available through Google Cloud. These earlier steps show a developing business relationship, not proof of the newly reported purchase.
Google, meanwhile, is changing how it sells the chips. On its April 29, 2026, first-quarter earnings call, CEO Sundar Pichai said the company would begin delivering TPUs in hardware configurations to select customers’ own data centers. Google later described customer deployments and partnerships on its October earnings call. The shift makes a direct sale or other external arrangement more plausible as a market possibility, but does not independently verify OpenAI’s reported plans.
“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
The Reported Deal Has No Public Terms
Neither OpenAI nor Google has confirmed a purchase, and the reporting rests on one person familiar with the matter at each outlet. The companies have not published a contract, and no independent evidence in the supplied material establishes that an order has been placed. OpenAI declined to comment; Google did not comment.
The central details remain unknown: the number and model of TPUs, any financial terms, delivery timing, where the chips would operate, and how much computing work they might handle. The hiring listing shows TPU-related engineering activity, but it does not settle those questions. It is also unclear whether the reported plan is final or subject to negotiations.
Even if a purchase proceeds, its effect on Nvidia’s position cannot be measured from the available information. The previously announced chip arrangements include different types of commitments and future capacity, and the source material does not establish how much is already deployed. There is no confirmed change to OpenAI’s current services or users’ experience.
Watch for Terms and Deployment Evidence
The next meaningful evidence would be a statement from OpenAI or Google, a disclosed agreement, or reporting that clarifies the order’s size, timing and operating arrangement. Details about whether the chips would be accessed through Google Cloud, Oracle or another setup could also show what the reported plan means in practice.
Until then, the appropriate status is reported, not confirmed. Google’s external TPU sales and OpenAI’s technical hiring provide context, while its existing supplier agreements show that the company has already been pursuing more than one source of compute. Most of the cited capacity deals are scheduled for 2027 or later, according to the source material, so the reports do not establish an immediate shift in available computing resources.
Key Questions
Has OpenAI confirmed that it will buy Google TPUs?
No. The Information and Bloomberg reported a plan, each citing one person familiar with the matter, but OpenAI declined to comment and Google did not comment.
What is known about the reported purchase?
The reports say OpenAI plans to buy Google AI chips. The quantity, price, chip generation, delivery date and operating location are not public, and no completed deal has been announced.
Would this be OpenAI’s first move away from Nvidia?
No. The source material lists previously announced arrangements involving AMD, Broadcom, Cerebras and Amazon, alongside a 2025 Nvidia letter of intent. The reported Google plan would add a potential supplier, not mark OpenAI’s first non-Nvidia arrangement.
Does OpenAI’s TPU job listing prove it has placed an order?
No. The October 20 listing sought an engineer to work on TPU compilers and model optimization. It supports the view that OpenAI is doing technical work involving TPUs, but a job posting is not evidence of a purchase or large-scale deployment.
Will the report change ChatGPT for users now?
No immediate user change has been announced. The reports do not specify when or how any chips would be used, and the source material says many of OpenAI’s infrastructure arrangements involve capacity expected in 2027 or later.
Source: ThorstenMeyerAI.com
