Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot
Published · Jul 7 · Tue Source · Hugging Face

Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot

Hugging Face announces zero-egress storage integration with SkyPilot, allowing developers to run AI workloads across clouds while storing data on its platform without transfer fees.

KeywordsRunAIHuggingFaceSkyPilot

Hugging Face is introducing a feature that combines SkyPilot orchestration with its storage system. This enables users to execute machine learning tasks on various cloud providers while keeping datasets hosted on Hugging Face.

Cloud egress fees often hinder large-scale model training and inference. By eliminating these transfer costs, the update aims to reduce operational expenses for developers managing heavy data pipelines.

SkyPilot is an existing orchestration tool for distributed computing. This integration streamlines the workflow between compute resources and model repositories, potentially lowering barriers for deploying large language models and other AI applications across heterogeneous environments.

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