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Authors: John-Paul Robinson, Camille Rodriguez
2022-10-27

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The presentation discusses the use of Kubernetes (K8s) in research computing, particularly in machine learning operations (mlOps) workflows. The speaker highlights the need for a K8s platform to handle the environmental configuration and workflow integration required by mlOps. The presentation also touches on the challenges of managing different CUDA versions and the need for generous resource provisioning to handle large models in containers.
  • Kubernetes is being used in research computing, particularly in mlOps workflows
  • A K8s platform is needed to handle the environmental configuration and workflow integration required by mlOps
  • Managing different CUDA versions can be challenging
  • Generous resource provisioning is needed to handle large models in containers