Introducing Storage Buckets on the Hugging Face Hub

This post introduces Hugging Face Storage Buckets, a new S3-like object storage service for mutable, non-versioned storage of intermediate ML artifacts. It highlights the benefits of using Xet for content deduplication and efficient storage of ML artifacts like checkpoints and logs. The post details how to create, sync, and manage buckets using the `hf` CLI and Python client, and emphasizes filesystem integration via `fsspec` for compatibility with existing data workflows. It also introduces 'pre-warming' to bring data closer to compute regions for improved performance in distributed training and large-scale pipelines.