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OCB: GPUs on OpenShift with Zvonko Kaiser (Red Hat)
Case Study: ML on OpenShift with NVIDIA DGX at MOD Israel
Deep Learning on OpenShift with GPUs Tripti Singhal, Nvidia OpenShift Commons Gathering Seattle 2018
NVIDIA and Red Hat enabling faster delivery of AI-powered intelligent applications
Running GPU workloads on OpenShift
Deep Learning Workflows on NVIDIA GPUs with Mehnaz Mahbub and Mayur Shetty
Jupyter Notebooks for machine learning on Kubernetes & OpenShift | DevNation Tech Talk
OpenShift Serverless: Using Knative in next-generation AI applications |DevNation Tech Talk
Tensorflow GPU Perf-Tuned Containers w/ OpenShift
Accelerated AI Made Easy with Red Hat OpenShift Data Science on Intel
Kubernetes made easy with OpenShift | DevNation Tech Talk
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Last Updated: September 28, 2026
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Summary
With Artificial Intelligence and Machine Learning workloads expected to drive demand for the next wave of applications in the The PSAP (Performance Sensitive Application Platform) team has developed the special resource operator which is a template to ... Each time we can switch the models that is actually being served using this API so is how our Speaker: Carlos Eduardo Arango Gutierrez Using general available packages (in the form of container images) from an official ... Speaker: Sophie Watson In this session you will see how to take your machine model from development to production by ... Speakers: Bill Rainford and Parul Project ChRIS is an open source initiative of Boston Children's Hospital, Boston University, ... Intel wants to bring AI everywhere. They are leveraging their portfolio (Intel® Xeon® processors, Intel Atom® processors, Habana ... In this session, we'll demonstrate four different ways to deploy an application on #
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