KubeCon + CloudNativeCon North America 2025 Co-Located Event Deep Dive: Cloud Native + Kubernetes AI Day

Who will get the most out of attending this event? What is new and different this year? What will the day look like? Should I do any homework first? A special note from the program chairs Posted on October 13, 2025 by Yuzhui Liu, Rajas Kakodkar, Ricardo Rocha, Yuan Tang | Co-Chairs Cloud Native & Kubernetes AI Day is welcoming the AI/ML and High Performance Computing (HPC) communities. Since 2022 there have been multiple dedicated events (Batch / HPC and Cloud Native AI days) but given the overlap in requirements, projects and end user interests it became clear we all fit better together. Cloud Native & Kubernetes AI Day brings together a diverse range of technical enthusiasts, open source contributors, practitioners, researchers and end users. All united in a common goal: enhancing Kubernetes as the ultimate infrastructure management tool for research and AI/ML workloads. The Cloud Native & Kubernetes AI Day is aimed at seasoned practitioners as well as those new to the batch computing and MLOps worlds. Anyone looking for solutions and best practices to provide cost effective and efficient infrastructure to scale out batch computing, training and inference workloads, make the best use of scarce and expensive hardware accelerators and efficiently manage LLMs and agentic infrastructure. This event will also help practitioners of MLOps interact with maintainers of Cloud Native AI projects and foster collaboration between the two worlds. The theme this year is ‘agent,’ with multiple references and reports on Agentic AI and the cloud native infrastructure supporting it. This event will be a unique opportunity to connect and network with people driving this new generation infrastructure. We will have a full day with 10 full sessions and 4 lightning talks and enough time for questions during the sessions and discussion in the break outs. We will be hearing from researchers, project maintainers and many end users reporting on successes and challenges of running AI/ML workloads on top of cloud native infrastructure. While the sessions will be engaging, there will be ample time during coffee breaks and lunch for hallway tracks and networking sessions, helping attendees engage with speakers, maintainers of projects and end users.