AI CURATED HOT STORY · 10/28/2026
Multiple authoritative sources, including Bloomberg and The Information, confirm that OpenAI plans to formally purchase AI chips (TPUs) from its direct competitor, Google, to diversify its compute infrastructure. This move marks a significant strategic breakthrough in reducing reliance on Nvidia GPUs, aiming to optimize inference costs and enhance supply chain resilience.
Cross-verified reports indicate that OpenAI has initiated model adaptation for Google Cloud TPUs and is hiring lead engineers for this purpose, signaling a shift from early testing to formal deployment. Notably, Richard Ho, head of OpenAI’s chip team, previously worked on Google TPU development, providing technical continuity for the partnership. Meanwhile, Google TPUs are accelerating external market penetration via third-party clouds like Oracle, positioning them as strong alternatives to Nvidia.
This development profoundly impacts the AI industry landscape. Having already engaged with AMD, Cerebras, and developing proprietary chips, OpenAI’s inclusion of Google TPUs solidifies its multi-vendor strategy. This not only weakens Nvidia’s absolute dominance in high-end AI training and inference but also signals a shift from closed ecosystems to open competition, compelling cloud providers and chip giants to reassess pricing and services, thereby driving the industry toward greater efficiency and lower costs.
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