Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot
Hugging Face has announced a new feature called SkyPilot that allows users to run AI workloads on any cloud and store their models on Hugging Face's storage without incurring egress charges. This is made possible by storing the model data within Hugging Face's infrastructure, eliminating the need for data transfer between clouds. The company claims this will make it easier for developers to use its platform, especially those who work with large models that require significant
Hugging Face has announced a new feature called SkyPilot that allows users to run AI workloads on any cloud and store their models on Hugging Face's storage without incurring egress charges. This is made possible by storing the model data within Hugging Face's infrastructure, eliminating the need for data transfer between clouds. The company claims this will make it easier for developers to use its platform, especially those who work with large models that require significant storage and computing resources.
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Why it matters: This matters because it simplifies the process of deploying AI models across multiple cloud environments, reducing costs associated with egress charges and making it more feasible to use Hugging Face's platform for large-scale model development and deployment.
Source: https://huggingface.co/blog/skypilot-hf-storage
This article was originally published at: https://huggingface.co/blog/skypilot-hf-storage