AI WORKLOADSAT SCALE: Kubernetes Cluster with Supermicro's Systems with AMD EPYC™7002 Series processors White Paper
■The Deep Learning (DL) benchmark results in the previous white paper clearly show that a DL workload in Docker containers performs the same as on the BareMetal. Building an on-prem Kubernetes cluster with GPU workers and AI framework-specific Docker containers can help an organization run projects or productions in a highly reliable and scalable platform. In this white paper, Supermicro AMD based WIO systems, AS-1114S-WTRT, are introduced as Kubernetes Admin and master nodes. Along with AS-2023US-TR4, we build an NVIDIA GPU capableKubernetes cluster that uses Cloud-native CEPH storage as persistent volumes and demonstrates how a DL workload can scale the Kubernetes cluster.
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White Paper |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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March 2021 |
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741 KB |
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