Most teams store their models and datasets in one region of a single cloud, whereas available GPUs for development, training, or serving are increasingly located in a different cloud. This leads to additional costs for transferring data between clouds, which can be expensive.
Hugging Face Blog announces a new solution enabling AI workloads to run on any cloud while storing data on Hugging Face with zero egress costs. This could reduce costs associated with cross-cloud data transfer and simplify working with GPUs located in different cloud environments.
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Why it matters
This solution could reduce costs associated with moving data between clouds and simplify working with GPUs located in different cloud environments. However, questions remain regarding how exactly the zero data transfer cost works and what specific advantages this solution provides for users.