Models will be superhuman distributed GPU engineers in a few years.

Added to korrents 9 Oct 2026 · How quotes work · Something wrong? Tell us

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• Nvidia should build only what would not otherwise exist — twenty years of CUDA at a loss is the test, and the world already has plenty of clouds. JHJensen Huang15 Apr 2026
• The local AI niche will end up dominated by whichever open-weight model runs practically fast on high-end consumer hardware, like a Mac or a 'GPU in a box' rig. SSSalvatore Sanfilippo14 May 2026
• Demand for inference may be growing exponentially while GPU production can only grow linearly, and the tightening happens where those two lines cross. DRDax Raad27 May 2026
• Nvidia does not run rival chip architectures in parallel because it simulates them and they come out provably worse. JHJensen Huang15 Apr 2026
• There will be no overnight intelligence explosion, because a model's best work takes so much test-time compute that time itself is the bottleneck. NBNoam Brown26 Jun 2026

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