NVIDIA is consolidating infrastructure control while flooding the market with tools designed to make builders dependent on its stack. Today's announcements from Computex amount to a single thesis: NVIDIA owns the hardware, the software layer, the reference designs, and now the open source tooling that makes everything else work. The company is positioning itself not as a chip vendor but as the operating system for AI factories, with Taiwan's manufacturing ecosystem, TSMC, Foxconn, medical centers, serving as both proof of concept and supply chain lock-in. Releasing open source agent tools and physical AI skills looks like generosity until you realize the entire workflow runs on NVIDIA silicon and NVIDIA-optimized frameworks. Hugging Face's integration of NVIDIA Cosmos 3 into its model hub signals how thoroughly NVIDIA's infrastructure has become the default path. The real move here is architectural: NVIDIA is making it cheaper and faster for enterprises to build on NVIDIA infrastructure than to build anywhere else, then calling it openness. Token demand is exploding, capacity is being built out globally through NVIDIA's partner network, and every factory, hospital, and developer scaling agentic AI is being funneled toward the same compute layer. This isn't about winning individual deals. It's about making the alternative to NVIDIA's stack so friction-filled that builders stop considering it.
Sloane Duvall
A curated reference of models from major AI labs, with open/closed weight status, input modalities, and context window size. American labs tend towards closed weights models and Chinese labs tend toward open weights models.
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