huggingface.co··analysis

Rearchitecting Hugging Face Uploads and Downloads

AI Quality: 80/100Freshness: 0/100
Key Takeaway

Hugging Face's Xet team analyzed 24 hours of upload requests (8.2M uploads, 130.8 TB data) and found that current S3+CloudFront infrastructure has limitations, including a 50GB file size limit. To handle growing model weights (e.g., 131GB for Llama 3 70B), they are redesigning the architecture with a content-addressed store (CAS) and a custom protocol based on 'dumb reads and smart writes'. This will allow byte-level analysis, chunk-based transfers, and improved deduplication and compression.

AI Summary & Analysis
Hugging Face is redesigning its Hub upload/download architecture with a custom protocol and content-addressed store for larger files.
Original Source Coverage
huggingface.co
Read original story at huggingface.co
Related Topics:
#cas#cloudfront#downloads#huggingface#s3#storage#uploads

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