Jensen Huang backs open-weight AI while negotiating $250B OpenAI data-center financing

Huang used the week's security incidents to make a policy argument: open-weight models are essential to industry safety and adoption, and he's lobbying US lawmakers to protect their development. The framing was reinforced by the Hugging Face breach, where the open GLM-5.2 model helped defenders reconstruct the attack after closed models refused on safety grounds. Huang's LinkedIn post — 'Attackers have frontier AI. Defenders need a frontier AI ecosystem' — announced the Open Secure AI Alliance and drew over 14,000 likes.

At the same time, NVIDIA is reportedly negotiating to guarantee roughly $250 billion in financing for OpenAI's proposed 10-gigawatt data-center campus in Piketon, Ohio — one of the largest compute-infrastructure commitments ever discussed, and a striking counterpoint to Huang's open-ecosystem advocacy. NVIDIA also pushed AI-safety tooling at Siggraph, releasing self-hosted coding-assistant guidance via NeMo Guardrails and a Synthetic Video Detector NIM tested at 92% accuracy (deemed not yet consumer-ready).

The dual posture — championing open weights while underwriting the largest closed-lab buildout — captures NVIDIA's structural position: it profits regardless of who wins the open-vs-closed war, as long as compute demand compounds. Skeptics see the open-weights advocacy as partly self-interested, expanding the total addressable market for GPUs. What to watch: whether the $250B OpenAI financing firms up, and whether the Open Secure AI Alliance gains members beyond NVIDIA and Perplexity (which contributed its Numbat model).