[Hugging Face and Arcee AI Reach Multi-Million Dollar Partnership, All Models and Data Migrated from AWS S3] According to monitoring by Beating Insights, Hugging Face and Arcee AI have entered into a multi-million dollar strategic business partnership. Arcee AI will become the first major U.S.-based AI lab to migrate all public and private models, datasets, and agent traces from Amazon AWS S3 storage to Hugging Face. The private hosting portion of the project is supported by Hugging Face's private storage product, Buckets. Buckets, as a private storage layer, offers cloud storage services billed per TB, waives egress fees, and integrates CDN acceleration, specifically designed for fast read/write operations of AI weight files and datasets. By leveraging a storage layer independent of any single cloud provider, Arcee AI has achieved compute agnosticism, enabling free scheduling of training clusters across different cloud service providers without incurring data migration fees, thus avoiding vendor lock-in. Arcee AI is one of the most active U.S. labs on the Hugging Face platform. It has released 204 models and 63 datasets, with monthly downloads exceeding 100,000. Its well-known open-source projects include the Trinity series models (featuring Trinity-Mini, Trinity-Nano, and Trinity-Large-Thinking), the AFM-4.5B base model with over 160,000 downloads, the Llama-3.1-SuperNova-Lite model with over 100,000 downloads, the open-source dataset The-Tome containing 1.75 million fine-tuning samples, and the `agent-data` dataset for agent function calls. [Original Link]