Kubeflow Summit Europe 2025
as the organisers put it
Kubeflow Summit Europe has officially wrapped! Thank you to all the attendees who joined us. Watch keynotes and all breakout sessions on the CNCF YouTube Channel. Review session slides from speakers…
who it's for
ml platform engineers, machine learning engineers, data scientists, kubernetes operators, site reliability engineers, open source contributors
topics
Kubeflow Trainer API v2; model registry UI integration; Katib LLM hyperparameter tuning; JAX distributed training; distributed in-memory Iceberg cache; Apache Arrow Flight streaming; Profiles automation via GitOps and OIDC; training-operator for edge-cloud training; Spark Operator as core component; Helm-based installs and manifests
| title | author | length |
|---|---|---|
| Closing Remarks | Andrey Velichkevich | 05m |
Agenda highlights on the main KubeCon stage include Kubeflow Trainer API v2 details and maintenance-track updates, an active booth that needs volunteers —… | ||
| Lightning Talk: Kubeflow Profiles Automation for Declarative Us... | Kimonas Sotirchos, Manos Vlassis | 11m |
Canonical builds an operator that continuously syncs a single source of truth (OIDC or a GitHub YAML repo) to Kubeflow Profiles, RoleBindings and authorization… | ||
| Welcome + Opening Remarks | Andrey Velichkevich, Valentina Rodriguez Sosa | 08m |
Kubeflow claims to be a Kubernetes-native AI/ML platform that is portable to any certified Kubernetes distribution and already covers the full ML lifecycle… | ||
| Streamlining Competitive Data Science at CERN: Running ML... | Raulian-Ionut Chiorescu, Hannes Hansen | 29m |
CERN builds a private ML-challenge platform that runs participant code as Kubeflow pipelines components so data download, distributed training, scoring and… | ||
| Using Training-Operator To Schedule Distributed Edge-Cloud Collaborative... | Bincheng Wang, Ming Tan | 20m |
Demonstrates integrating training-operator with KubeEdge’s Sedna to run distributed training across cloud and edge, extending Sedna beyond its original… | ||
| Panel: Simplifying the AI/ML Lifecycle With Kubeflow: An Insight Into the Community | Valentina Rodriguez Sosa, Chase Christensen, Julius von Kohout, Tarek Abouzeid, Stefano Fioravanzo | |
Community members describe concrete wins: a tested Kubeflow 1.10 release, an active Helm proposal and manifest path for installs, integration work with Istio… | ||
| Empowering ML Workloads With Kubeflow: JAX Distributed Training and LL... | Hezhi Xie, Sandipan Panda | 20m |
Extended Kubeflow implements a tune API for LLM HPO that wraps the trainer SDK, storage initializer and PyTorchJob so experiments pull models from Hugging… | ||
| Kubeflow Ecosystem: Past, Present, Futu... | Ricardo Martinelli de Oliveira, Valentina Rodriguez Sosa | 18m |
Kubeflow 1.10 is released and ships a model registry UI integrated into the central dashboard, a renamed training operator now Kubeflow Trainer with a v2… | ||
| Speed up Your ML Workloads With Kubernetes Powered In-memory Data... | Rasik Pandey, Akshay Chitneni | 26m |
Demonstrates a distributed in-memory cache of Iceberg tables deployed as a leader/worker set on Kubernetes that shards files into Arrow-formatted shards using… | ||
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