Jensen Huang backs open-source LLMs, but GPU costs remain the real barrier
pascalefung · x · 2026-07-28
Jensen Huang is again promoting open-source LLMs as a driver of innovation, but the post argues that the real bottleneck is compute.
It says high GPU costs are still a major barrier for academic research and grassroots innovation, and suggests NVIDIA could widen access by offering free or heavily subsidized compute for researchers and open-source projects.
Related event: 70+ Organizations Back the Open Weights Push(18 posts)→
More from Infra
- AI Infra Meme: While Countries Need TW-Scale Power for Datacenters, People Argue About Lightbulbs — mgostIH · 2026-10-27
- Legora runs 2,000 parallel agent evals on Modal Sandboxes for legal AI — blelbach · 2026-10-27
- Cloud release velocity scores: AWS 95, Azure 90, Google Cloud 82 — DavidLinthicum · 2026-10-27
- Selling a 5090 to scale local inference: one business weighs 5 hardware paths — Anarchaotic · 2026-10-27
- AWS tutorial: fleet-wide edge CV model lifecycle with SageMaker SDK v3, ~$0.07 per run — AWS ML Blog · 2026-10-27
- Qwen3.8-27B hits 40 tok/s on Jetson Thor with INT4 + MTP, accuracy beats FP16 — No-Dragonfly6246 · 2026-10-27