Automatic Selection of Economical GPU Options for AI Training and Inference
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This is an open-source cross-cloud AI and batch job scheduling platform that allows users to run deep learning, distributed training, inference, batch processing, and other tasks on Kubernetes, local clusters, and major cloud service providers (AWS, GCP, Azure, etc.) through a unified interface. It automatically searches for the most cost-effective and available GPU/TPU/CPU resources, supporting features such as queuing, automatic fault tolerance, resource sharing, and cost optimization.