H100 (Product): news timeline & CVEs

Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment

NVIDIA argues AI factories maximize ROI through higher tokens per megawatt, longer GPU life, and workload fungibility.

NVIDIA says AI factory operators spend about $60 million per megawatt and should judge returns by earning capacity, useful hardware life, and token demand. Citing SemiAnalysis AgentX, it claims Vera Rubin NVL72 delivers over 30 times the throughput per megawatt of GB300 NVL72 and up to 45 times lower cost per million tokens on DeepSeek V4 Pro. The company notes A100 GPUs shipped in 2020 remain in service, with CoreWeave bookings extended through 2029, and cites longer lives at major operators, including Microsoft's V100 fleet at 8.4 years.

NVIDIA Blog13:00 UTC · 7h agoAI industry 2 sources

Streaming Video Editing with Easy Adaptation

SVEET adapts a bidirectional video diffusion model for real-time streaming edits at 15 FPS on one H100.

SVEET adapts a pretrained bidirectional video diffusion model for autoregressive streaming video editing. An auxiliary branch encodes source frames with temporally independent self-attention and injects those features into backbone blocks, while decoupled training keeps controllability orthogonal to causality. The authors report superior editing quality and 15 FPS on a single H100 without auxiliary acceleration, and they released the code.

Hugging Face daily papersSep 20, 20:00 UTC · 11d agoAI research

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Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment

Streaming Video Editing with Easy Adaptation