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  "title_listed": "Nvidia Wants the Open Model Control Plane",
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  "body_markdown": "A reported $12.9 billion acquisition of Hugging Face by Nvidia sounds, at first pass, like the GPU company buying a model library. That is too small a description.\nHugging Face is where a large part of the open AI world already does its ordinary work. Developers find models there. Researchers publish weights and datasets there. Teams compare benchmarks, ship demos, inspect licenses, download artifacts, and decide whether a model is worth trying before they ever talk to a cloud salesperson.\nThe price only starts to make sense if you treat the asset as distribution.\nIf closed labs keep building their own chips, Nvidia needs more than the biggest accelerator share. It needs demand to keep arriving in forms that prefer Nvidia hardware. Open models help with that. A company that downloads a model still has to run it somewhere. In practice, the somewhere is often a machine full of Nvidia GPUs, directly owned or rented through a cloud provider.\nThat is the trade. Nvidia does not have to beat every foundation model company at model quality. It can finance the substrate where many model companies, research teams, and enterprise buyers meet. Owning that meeting place would give it better information about which models people actually use, which deployment paths are growing, and where developer attention is moving before revenue shows up in someone else's cloud line item.\nThe full essay is on my site, with the valuation details and the buyer-risk split:\nhttps://deanlee.info/essays/nvidia-hugging-face-control-plane/",
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