CNCF-hosted Co-located Events Europe 2025 taking place on 1 April. This event is happening in person at Excel Londonin London, England. The Sched app allows you to build your schedule, but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon Europe 2025, and have an All-Access pass in order to participate in the sessions.
To view the full event schedule for a specific CNCF-hosted Co-located event, you can use the right-hand navigation bar to sort and filter.
Competitive challenges in machine-learning serve as the central point for researchers to interact with their community. Nowadays popular services like Kaggle are used to share, exchange and compete on such challenges. But they are bound by resource constraints that block scalable model training by its participants, and are not suited for setups where data is kept internal or internal tooling is needed. Running your own infrastructure can help tackle these problems but requires management and scalable orchestration of workloads. As KubeFlow is the ideal tool for orchestration and distributed training on Kubernetes, it can be leveraged for running submissions. In this setup, user code is executed as a pipeline where data loading, distributed training and scoring is managed, allowing participants to focus solely on their model code. A case study for running particle physics based challenges at CERN will show how this framework is set up and which challenges were faced during development.
Raulian Chiorescu is a DevOps Engineer at CERN. He works within the Kubernetes team and handles Machine Learning Operations. Prior to this he was working as a DevOps Engineer at an AI company based in Cambridge.
Hannes Hansen is a computing engineer at CERN where he works on machine learning operations on Kubernetes. Prior to this, he helped develop the grid data management for the experiments.
