https://peertube.watch/videos/watch/40dbca02-c693-4b60-9a7a-59f9f4280d91 Kubernetes has become the platform of choice for container orchestration. High Performance Computing (HPC) workloads are underserved by the Kubernetes community. Various problems exist and a work group was established to identity and implement features in Kubernetes. In this talk, we will give a brief overview of the different components of Kubernetes and explain what work is being done to improve the experience of a HPC user on a Kubernetes cluster. The major focuses of this talk will be on the enhancements made to the Job API in Kubernetes. Various features for the Job API that will be expanded upon are Indexed Jobs, Suspended Jobs, Pod Failure Policy, and the Pod Replacement Policy. Even with this features in Job API, there is a need for an API that can represent a collection of Jobs. I will also present the JobSet project and give examples of how one can use this to run some common HPC patterns. Speaker: Kevin Hannon, Track: HPC, Big Data & Data Science devroom, Room: UA2.118 (Henriot), When: Saturday 3 February 2024, 18:00–18:30 (Brussels time), Schedule: FOSDEM 2024 event page, Slides & links Slides, Demo of JobSet, Licence: Creative Commons Attribution 2.0 Belgium (CC BY 2.0 BE) (as stated in the FOSDEM video archive). Attribution: “How the Kubernetes Community is Improving Kubernetes for HPC/AI/ML Workloads” by Kevin Hannon, FOSDEM 2024. Original recording: 2024/ua2118/fosdem-2024-1761-how-the-kubernetes-community-is-improving-kubernetes-for-hpc-ai-ml-workloads.av1.webm from the FOSDEM video archive. This channel is an unofficial mirror; FOSDEM is a free and non-commercial event organised by the community for the community. Sat, 24 Oct 2026 01:30:29 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://peertube.watch https://peertube.watch/lazy-static/avatars/3b284627-b75f-409e-ac2e-10f4c2946f43.png https://peertube.watch/videos/watch/40dbca02-c693-4b60-9a7a-59f9f4280d91 All rights reserved, unless otherwise specified in the terms specified at https://peertube.watch/about and potential licenses granted by each content's rightholder.