Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot
- ID
- 3081
- Status
- summarized
- Published
- 07 Jul 2026, 8:00 AM
- Fetched
- 08 Jul 2026, 3:45 AM
- Provider
- Hugging Face Blog
- Category
- developer-ai
- Original URL
- https://huggingface.co/blog/skypilot-hf-storage
- Source URL
- https://huggingface.co/blog/feed.xml
Summary
- Score
- 7.5
- Created
- 08 Jul 2026, 3:46 AM
- Tags
- Audience
- developersvibe_codersai_ml_learnersai_agent_users
What happened
SkyPilot now supports Hugging Face as a zero-egress storage backend, letting developers run AI workloads on any cloud provider while keeping datasets and models on Hugging Face. This avoids costly cross-cloud data transfer fees and simplifies multi-cloud AI infrastructure.
Why it matters
For Malaysian builders operating across cloud providers or constrained by egress costs, this pattern lets you decouple storage from compute and shop for the cheapest GPU provider without paying data transfer penalties. It's especially useful for teams experimenting with large models or datasets who want flexibility without lock-in.
Discussion angle
How Malaysian teams can use this to avoid egress fees when renting GPUs from providers like RunPod or Lambda while keeping datasets on Hugging Face, and whether this changes the calculus for local startups choosing a primary cloud.