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After Jensen Huang's exit as Nvidia CEO, Hugging Face chief Clement Delangue said the company will keep fighting for open-source AI harder than ever. Nvidia's planned $12.9 billion purchase of the platform is scheduled to close in the first half of 2027 and has drawn US Justice Department questions.
Nvidia has donated OpenShell, an open-source runtime that applies policy controls to autonomous AI agents, to the Cloud Native Computing Foundation. At KubeCon North America it also put new GPU Kubernetes tools and a fast inference-restore feature into public preview.
Baidu has published ERNIE 5.5 Flash Base, a 280B-parameter mixture-of-experts checkpoint with 14B active per token, trained on 33.5 trillion tokens. Weights are downloadable, but the licence excludes the EU, UK and South Korea and limits commercial use above $50 million revenue.
Ricursive Intelligence has released Ripple-65B Preview, a 65-billion-parameter dense open-weight model pretrained for agentic coding. The company claims a top self-reported Terminal-Bench 2.1 score among US open-weight models, though the figures have not been independently reproduced and some reruns narrow the gap.
Three weeks after its API preview, Mistral has published the weights of Mistral Large 4 under a modified MIT licence. The natively multimodal mixture-of-experts model posts the best open-weight scores on Terminal-Bench 4.0 and FrontierCode 2.0, and ships with vLLM, SGLang and NVIDIA NIM support for self-hosting.
At GTC Berlin, Nvidia expanded its open-weights library with Nemotron 3.5-based Retriever embedding and reranking models covering 34 languages, a refreshed Nemotron Parse for PDF extraction and the compact Alpamayo 2 Edge driving model. The releases follow Nemotron 3.5 Super VL and precede the download of the 74B Nemotron 3.5 Bolt.
Recent open-weight releases match closed models on grounded QA and long-context retrieval, giving sovereignty-sensitive deployments a credible on-premise path.
