Overview
This paper focuses on helping companies address the challenges of running large-scale workloads by using orchestration platforms for containerized applications, which are essential to ensure performance, high availability, and efficient horizontal scaling across compute resources. The proof of concept (PoC) that is described in this chapter and explained in detail in this paper provides guidance about how to configure a Red Hat OpenShift 4.4.3 cluster for multi-GPU and multi-node deep learning (DL) workloads. It describes as an example ...
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