10 Ways Google's TPUs are Changing the AI Landscape

Published On Sat Jun 28 2025
10 Ways Google's TPUs are Changing the AI Landscape

NVIDIA Might Be Losing AI Dominance As OpenAI Shifts To Google's TPUs

Google has managed to eke away some of OpenAI's AI computing requirements from NVIDIA, suggests a new report from The Information. The report shares that OpenAI has turned to Google to rely on the latter's tensor processing units (TPUs) to power its AI products. OpenAI has primarily been believed to rely on Microsoft, Oracle, and others to use NVIDIA's GPUs to train and run its AI software.

According to the report, OpenAI is interested in lowering its operating costs by using Google's TPUs, and Google has not rented out its latest TPUs to its AI rival. Google launched its seventh-generation TPUs in April, which it claimed was its first AI chip inference. The TPUs made quite a splash in 2024 when Apple revealed that it had used the firm's TPUs to train its Apple Intelligence platform.

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According to The Information, OpenAI is using Google's TPU to power ChatGPT and other AI products. The shift has been recent, and the publication quotes a single anonymous source in its report. The reason OpenAI is using Google's chips instead of NVIDIA's is to reduce costs, as the firm has faced heavy usage lately, as it learned after introducing a new image generation platform earlier this year.

Google's Competition with NVIDIA

The Information also adds that Google is purportedly seeking to offer its TPU chips to cloud computing infrastructure providers. NVIDIA's high prices and short supply of its GPUs have opened up a market for alternative chips that can offer users lower costs.

If Google is able to convince the infrastructure providers to adopt its chips as well, then it could aim at NVIDIA's market share and eke it away as supply continues to be constrained. Google also relies on its own chips to train its AI models. The firm is one of the most diverse AI companies in the industry as it operates across both the hardware and software stacks.

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Along with its TPUs, Google also offers its Gemini AI model and has been busy integrating Gemini across its platforms such as Gmail and Google Search. OpenAI's reliance on Microsoft and Oracle means that it has exclusively relied on NVIDIA's GPUs. If OpenAI relies on TPUs from Google, then Google will have managed to break NVIDIA's near-monopoly like status on the high-end AI industry.

Earlier this year, OpenAI made headlines after it partnered with Oracle as part of President Trump's Startgate project in a decision that appeared to have snubbed Microsoft.