OpenAI looks to Google’s AI chips as it diversifies beyond Nvidia

OpenAI looks to Google’s AI chips as it diversifies beyond Nvidia Google has developed its own AI processors, known as tensor processing units (TPUs), to handle machine-learning workloads. OpenAI plans to purchase artificial intelligence chips from Google, according to a report by The Information, as the ChatGPT maker seeks to expand its computing options amid rising demand for AI infrastructure, Reuters reported.The proposed purchase would deepen commercial ties between OpenAI and Google’s parent Alphabet, even as the two companies compete in AI products and search. The financial terms and other details of the planned deal have not been disclosed.OpenAI is among the biggest buyers of Nvidia’s graphics processing units (GPUs), which it uses to train AI models and run inference workloads. Buying Google’s chips would give the company another hardware option as AI developers seek greater computing capacity and alternatives to Nvidia’s dominant processors, said the report. Google has developed its own AI processors, known as tensor processing units (TPUs), to handle machine-learning workloads. These chips are emerging as an alternative to Nvidia’s GPUs, with companies exploring options that could offer cost and performance advantages for specific AI tasks.Google has traditionally made its TPUs available through its own cloud infrastructure, but it has started selling the chips directly to select customers. The expansion of its chip business could help the company capitalise on growing demand for AI computing.OpenAI had already begun renting Google’s AI chips in 2025, according to earlier Reuters reporting. The reported plan to purchase them would mark another step in its engagement with Google’s hardware ecosystem.