HPC Workload Scheduling, with Ricardo Rocha

HPC Workload Scheduling, with Ricardo Rocha

From Kubernetes Podcast from Google by Abdel Sghiouar, Kaslin Fields

July 9, 2025 · 43 min · Episode 255

About this episode

Ricardo Rocha discusses HPC workload scheduling and cloud native technologies at CERN.

Ricardo Rocha leads the Platform Infrastructure team at CERN with a strong focus on cloud native deployments and machine learning. He has led the internal effort to transition services and workloads to use cloud native technologies, as well as dissemination and training for several years. Ricardo got CERN to join the CNCF and is a member of the Technical Oversight Committee (TOC), currently chairs the End User Technical Advisory Board (TAB), as well as leading the Research User Group (RUG). Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com News of the week Kubernetes Blog: Image Compatibility In Cloud Native Environments Gemini CLI on GitHub Cloud Native Glossary — The Vietnamese Version is Live! CNCF Blog: Joining CNCF as Executive Director: Let's Build What's Next OpenStack Foundation OpenInfra Foundation Links from the interview Ricardo Rocha on LinkedIn CERN Infiniband Kubernetes Jobs HTCondor Slurm Workload Manager Kueue Volcano Kube-batch (archived) Kubefed (archived) Yunikorn (Unicorn) KubeAdmiral (formerly Kubefed v2) CNCF End User…

People in this episode

Hosts: Abdel Sghiouar, Kaslin Fields

Guest: Ricardo Rocha

Topics covered

  • HPC
  • workload scheduling
  • cloud native
  • machine learning
  • CERN
  • CNCF

Keywords

  • HPC
  • workload scheduling
  • cloud native
  • CERN
  • CNCF
  • machine learning
  • Kubernetes

Mentioned in this episode

Organizations: CERN, CNCF, OpenStack Foundation, OpenInfra Foundation

Products: Gemini CLI, HTCondor, Slurm Workload Manager, Kueue, Volcano, Kube-batch, Kubefed, Yunikorn, KubeAdmiral, Dynamic Resource Allocation

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