The document discusses rising GPU demand for deep learning and machine learning, highlighting Run:AI’s virtualization layer that manages granular GPU scheduling and allocation. Integrated with HPE Ezmeral Runtime Enterprise, Run:AI offers dedicated batch scheduling for efficient GPU workload management across clusters. It enables multiple GPU queues, fixed resource allocation, and prioritization, addressing challenges faced by data scientists running extensive jobs over weeks or months. This solution optimizes GPU utilization, accelerates AI workloads, and supports scalable, efficient compute resource management within Hewlett Packard Enterprise environments.

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