The Challenge and Breakthrough of 'Making Everything by Yourself': How Union Tool Achieved High-Efficiency Management of GPU Resources with AI-Stack
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In fact, AI-Stack has attractions that go beyond "GPU resource partitioning." It can automatically allocate a resource pool composed of single or multiple GPUs to individuals or teams based on policies. GPU resources can be set for each team, including minimum and maximum usage amounts. For example, if GPU resources are completely unused, one team can monopolize their use. When other teams start using them, they are automatically allocated based on policies, thereby increasing the utilization rate of valuable GPU resources.
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