Groq just officially became a supported Inference Provider on the Hugging Face Hub. Developers can now run open-source models like Llama 4 directly through Groq's low-latency LPU chips using HF's web UI or Python and JS SDKs. You can bill through Hugging Face without added markups or plug in your own Groq API key.
Hugging Face just acquired XetHub, a Seattle startup founded by ex-Apple engineers to overhaul how massive AI models and datasets are stored. Instead of relying on Git LFS and re-uploading gigabytes for minor edits, XetHub’s chunking tech lets users sync just a few kilobytes. Why it matters: as models head toward trillions of parameters, version control needs to keep up.
Hugging Face just partnered with Google Cloud to make training and deploying open-source AI models seamless across Google's infrastructure. Developers can now run Hugging Face models directly inside Vertex AI and Google Kubernetes Engine, with support for Google hardware like TPUs. Why it matters: It bridges the world's biggest open model repository with enterprise cloud infrastructure, giving companies an easier route to build custom AI without proprietary lock-in.
