Open-weight AI model companies in Silicon Valley have emerged as major acquisition targets after Nvidia and other large tech firms pursued deals tied to open model infrastructure. The biggest specific report cited is a $13 billion acquisition of Hugging Face. The result is more consolidation and investment in open-weight model platforms and tooling as companies seek control, cheaper inference for repetitive workloads, and leverage for self-hosting or routing.
Nvidia agreed to pay $12.9 billion for Hugging Face, according to The Information’s report. The deal price is $12.9 billion. Developers will continue using open-model downloads that typically run on Nvidia’s CUDA/software stack, making Nvidia’s platform a tighter dependency even as competitors offer alternative chips and model APIs.
Nvidia and Salesforce earnings drove a week of AI- and enterprise-tech momentum while Nvidia signaled continued capacity limits and investors bid Nvidia shares up alongside Salesforce’s jump.
The Open ASR Leaderboard added two new evaluation sets, Monsoon en-IN and Monsoon hi-IN, to expand ASR testing to Hindi and Indian English with speaker-disjoint public and private splits. Monsoon contains 4,888 speakers across the four splits. Developers can now score models on these datasets (and do private-split evaluation without tuning to the leaderboard), making it easier to measure and reduce performance gaps that are not visible in other leaderboard tests.
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