Open Source SkyPilot Targets Cloud Cost Optimization for ML and Data Science A team of researchers at the RISELab at UC Berkeley recently released Skypilot, an open-source framework for running machine learning workloads on the major cloud providers through a unified interface. The project focuses on cost optimization automatically finding the cheapest availability zone, region, and provider for the requested resources. By Renato Losio
Author: Renato Losio
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