How to use GPUs with DevicePlugin in OpenShift 3.10

This post updates the previous version based on OpenShift 3.9 with relevant changes for OpenShift 3.10. Notably, the device manager API is marked as GA in OpenShift 3.10. Introduction This blog post will show how to use NVIDIA GPUs in OpenShift 3.10.  We start with a description of the environment, then show how to setup the host. […]

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Red Hat OpenShift Container Platform 3.10 is now available for download

Today, we’re pleased to announce the general availability of Red Hat OpenShift Container Platform 3.10 (read the release notes; download the new version). Every release of OpenShift contains hundreds of fixes for enhanced security and performance, tested integrations throughout the stack, and access to hundreds of validated ISV solutions. For a full walkthrough of the […]

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How to use GPUs with Device Plugin in OpenShift 3.9 (Now Tech Preview!)

How to use GPUs with Device Plugin in OpenShift 3.9 (Now Tech Preview!)

This post updates the previous version based on OpenShift 3.6 with relevant changes for OpenShift 3.9, namely the introduction of Device Plugins. Device Plugin support is now marked as Tech Preview in OpenShift 3.9. Introduction The inclusion of Machine Learning and Artificial intelligence components has quickly become the hallmark of many next generation applications.  Being able to […]

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How to use GPUs in OpenShift 3.6 (Still Alpha)

How to use GPUs in OpenShift 3.6 (Still Alpha)

Run general-purpose compute workloads on Graphics Processing Units (GPUs) with these instructions for using OpenShift 3.6 GPU support in Kubernetes. GPU support in Kubernetes remains in alpha through the next several releases. The Resource Management Working Group is driving progress towards stabilizing these interfaces.

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How to use GPUs in OpenShift and Kubernetes

How to use GPUs in OpenShift and Kubernetes

Running general-purpose compute workloads on Graphics Processing Units (GPUs) has become increasingly popular recently in a wide range of application domains, mirroring the increased ubiquity of deploying applications in Linux containers. Thanks to community participant Clarifai, Kubernetes became able to schedule workloads depending on GPUs beginning with version 1.3, enabling us to develop applications that are on the cutting edge of both trends with Kubernetes or OpenShift.

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