OpenAI plans to buy Google AI chips amid rising demand for computing capacity
Growing demand for artificial intelligence computing is pushing major technology companies to expand spending on data centers and semiconductors. OpenAI plans to buy Google's AI chips, a move that would deepen ties between two companies that also compete in AI products and search.
Highlights
- OpenAI plans to purchase Google's AI chips, expanding beyond Nvidia GPUs as it seeks greater computing capacity for training and inference workloads.
- Google's Tensor Processing Units are gaining momentum as a competitor to Nvidia's chips, reflecting rising enterprise demand for cost-effective and specialized AI hardware.
- Alphabet begins selling TPUs directly to some customers this year, and upcoming quarterly results may reveal how AI investments support Google Cloud growth.
Planned chip purchase and supplier strategy
As reported by Reuters, citing The Information, OpenAI plans to buy Google's AI chips, citing a person familiar with the matter. The report does not disclose financial terms or additional details of the planned purchase.OpenAI is already one of the largest buyers of Nvidia graphics processing units, or GPUs, which the ChatGPT maker uses to train AI models and run inference computing. A shift toward Google's chips would mark a notable supplier expansion as companies seek more computing capacity for AI workloads.
Google does not immediately respond to a Reuters request for comment outside regular business hours, while OpenAI declines to comment.
Implications for Google and the AI chip market
The planned purchase would deepen ties between OpenAI and Alphabet's Google, even as the two companies compete in AI products and search. It also highlights how Google's Tensor Processing Units, or TPUs, are gaining traction as an alternative to Nvidia's market-leading AI chips.Companies are looking for cheaper options and for chips better suited to running AI models, and Google begins selling TPUs directly to some customers this year. Alphabet is due to report quarterly results later on Wednesday, with investors watching for signs that its heavy AI investment continues to support growth in its cloud business.
In our earlier analysis of the Nasdaq 100’s volatility tied to AI supply-chain risks, we noted that last week’s selloff was driven by renewed concern over semiconductor availability and rising financing costs for tech companies. The piece highlighted mixed technical signals, with the index still below key moving averages and analysts watching critical resistance levels as AI-related headlines continued to sway sentiment.
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