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Hugging Face
Hugging Face logoHugging Face · Feature trail

Zero-Egress Storage for AI Workloads

1 post · Mar 2026

What this trail covers

Hugging Face now supports zero-egress storage for AI workloads using SkyPilot, enabling users to run AI tasks on any cloud and store data on Hugging Face without incurring egress charges. This capability simplifies cloud-based AI development and deployment by abstracting away complex storage and networking configurations.

All Hugging Face trails
  1. Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilotThis post details the integration of SkyPilot with Hugging Face's storage capabilities to enable zero-egress storage for AI workloads. It explains how users can run AI tasks on any cloud provider (AWS, GCP, Azure) and store their data on Hugging Face's infrastructure without incurring data egress fees. The technical implementation involves configuring SkyPilot to use Hugging Face as a remote storage backend, abstracting the underlying cloud storage and networking complexities. This allows for cost-effective data management for distributed AI training and inference.