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OpenAI CEO criticizes home RAM use for AI inference

Sam Altman, OpenAI’s CEO, called local AI inference on home computers ‘quite terrible’ in a recent interview. He argued that DRAM in personal devices is underutilized—used just 5% of the time—while data centers could maximize supply efficiency. Altman’s comments reflect OpenAI’s business model, which relies on closed-source models hosted in its own data centers rather than open-source…

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Key points

  • Altman calls home RAM for AI ‘quite terrible’ due to low 5% utilization vs. data centers
  • OpenAI’s business model favors cloud-hosted models over open-source or local alternatives
  • Data centers reportedly idle over 70% of the time, per prior reports

The CEO’s stance contrasts with concerns about data center inefficiency: a report noted that AI data centers sit idle over 70% of the time due to low demand. Altman’s remarks also touch on broader debates about hardware ownership, suggesting a preference for cloud-based AI over local solutions. Critics argue his perspective prioritizes OpenAI’s infrastructure over consumer flexibility.

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  1. OpenAI CEO criticizes home RAM use for AI inferencethis story
Full story from Tom's Hardware · by Andrew E. FreedmanOpen source ↗

OpenAI CEO says it's 'quite terrible' for your PC to have RAM — Sam Altman says data centers offer better utilization

Tom's Hardware · 30 October 2026

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This text was published by Tom's Hardware and written by Andrew E. Freedman. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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