NVIDIA is buying Hugging Face, the platform where millions of developers share AI models, for nearly $13 billion. The deal promises to keep Hugging Face open and independent while scaling its infrastructure.

• Hugging Face has 18 million users sharing 3 million models and serves 200,000 companies; NVIDIA says it won't require its own compute to build or deploy on the platform.
• NVIDIA is already the largest contributor of open models to Hugging Face (500+ models, 250+ datasets) and frames the acquisition as strengthening open-source AI rather than locking it down.
• The deal hinges on a commitment to multi-cloud, multi-accelerator support—meaning developers won't be forced to use NVIDIA hardware even after the acquisition.

The Smol Training Playbook on Hugging Face provides a comprehensive guide for efficiently training machine learning models using the Hugging Face ecosystem. It emphasizes best practices and methodologies for optimizing training processes, making it accessible for both beginners and experienced practitioners. The playbook also includes practical examples and resources to enhance the learning experience.

• The summary provided is generic boilerplate that doesn't reflect actual specifics from the Smol Training Playbook (no concrete numbers, model sizes, or training details are given)
• No real methodology, benchmarks, or findings from HuggingFace's actual smol model training work are included in this text