Originally published on AI Tech Connect.
Why NVIDIA's model launch matters beyond hardware For most of the past decade, NVIDIA's strategic position was unambiguous: sell the shovels in the AI gold rush. CUDA, H100s, the NVLink fabric — NVIDIA provided the substrate on which everyone else built. The company's relationship with AI models was largely indirect: the better the models got, the more GPUs people bought. That posture has now changed. With the release of six open-weight model families across as many verticals — Nemotron for enterprise agents, Cosmos for physical AI simulation, Alpamayo for autonomous vehicles, Isaac GR00T for robotics, Clara for biomedical AI, and Ising for quantum computing — NVIDIA has stepped into the same arena as Hugging Face, Meta, and Mistral. It is competing for developer mindshare, not just GPU…
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