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H100

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Headlines · 4

  1. AISI: Data Filtering Is Not Durable for Open-Weight Protein Models

    The UK AI Security Institute pretrained ESM-2 protein language models after excluding viral protein sequences, finding that filtering reduced performance on viral proteins while largely preserving performance on non-viral proteins. However, fine-tuning on the withheld public sequences fully restored viral-protein performance, requiring about $80 of H100 compute even for the largest 3B-parameter model. AISI says the approach therefore needs additional measures, such as data access controls, to form a robust safeguard.

    UK AI Security Institute · 🔥 0
  2. Jensen Huang says NVIDIA GPUs can remain productive for eight years or more

    At GTC Berlin, NVIDIA CEO Jensen Huang said NVIDIA computing systems can remain productive for eight years or more. He attributed their longevity to broad deployment, continued software enhancements, versatility and durability, and said the chips could retain residual value and become attractive collateral for loans. Separately, on SpaceX’s Q3 2026 earnings call, Elon Musk argued that improving AI software could increase useful intelligence per watt, claiming that some older H100 GPUs now rent for more than they did when new.

    Wccftech · 🔥 0
  3. Cheaper AI tokens are driving more demand — a textbook Jevons paradox

    The Decoder reports that a16z calls the current AI market a "textbook Jevons paradox": data from Ornn, Silicon Data and Bloomberg (as of August 2026) shows token prices keep falling while H100 GPU rental prices hold steady or even climb. Cheaper tokens unlock agents, automation and new applications, so volume grows faster than per-unit costs fall, though the article notes it is unclear how much demand comes from humans versus agentic systems burning tokens at a staggering rate, and that compute demand could be artificially inflated. The whole chain rests on one assumption — AI usage grows fast enough to offset falling token prices; if demand flattens, chip makers, memory suppliers, energy providers and cloud companies take a hit, and US stocks already dropped on reports that OpenAI's annualized revenue might be lower than previously reported.

    The Decoder · 🔥 0
  4. SpaceX resells NVIDIA GPUs to Anthropic as Silicon Valley's compute crunch worsens

    A QbitAI roundup drawing on The Wall Street Journal, Anthropic's blog and SemiAnalysis data says Silicon Valley is locked in a scramble for compute: SpaceX is acting as a reseller of NVIDIA GPUs, supplying capacity to Anthropic, and its first earnings report showed quarterly AI business revenue of $2.561 billion, up 247% year over year. The piece says Anthropic's May agreement with SpaceX added more than 300 MW of new capacity and 220,000 NVIDIA GPUs and raised Claude Code and API usage limits. It also reports that Noam Shazeer, hired back by Google for $2.7 billion, moved to OpenAI after compute was reallocated (citing foreign media), that H100 one-year rental prices rose from $1.70 per GPU-hour in October 2025 to $2.35 in March 2026 — nearly 40% — and that startups face multi-year contracts and prepayments of up to 30%.

    量子位(原生 RSS) · 🔥 0

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