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White papers that describe solutions for high performance computing, including related white papers from analysts and partners
This white paper describes how to deploy Kubeflow v0.5 on Red Hat OpenShift Container Platform and provides recommendations for achieving optimal performance using the latest Intel Xeon Scalable processors.
This white paper describes how to deploy Kubeflow v0.5 on Red Hat OpenShift Container Platform and provides recommendations for achieving optimal performance for ML/DL workloads using the latest NVIDIA Tesla GPUs.
This paper provides high-level guidance for building a converged architecture that is capable of running HPC, AI, and data analytics workloads on a single infrastructure with the DKube MLOps platform.
This white paper describes an on-premises enterprise AI solution stack from Dell, DataRobot, and Intel. The solution enables organizations to implement AI transformation projects on trusted infrastructure.
This paper describes the benefits of using the experimentation platform Comet in tandem with a Dell EMC AI-enabled infrastructure and instructions for running Comet on a Kubernetes cluster or as part of a Kubeflow deployment or simple Jupyter notebook server.
This white paper provides a blueprint for building an open-source machine learning platform on Kubernetes.
This white paper outlines considerations for deploying an on-premises enterprise data science platform for machine learning and deep learning using Iguazio.
This white paper describes a VMware Cloud Foundation based solution for machine learning environments with GPUs. The solution combines VMware virtualization and container orchestration with Dell EMC hardware.
This VMware white paper describes the infrastructure and configuration of an HPC deployment based on VMware technologies.