AI
Securing the AI/ML Lifecycle With MLSecOps: Open Source Best Practices - Bahaulddin Shammary, Dell & Andrey Shorov, Ericsson
ai infrastructureai safety and ethics
AI & Machine Learning
KubeCon + CloudNativeCon 2026
The Cloud Native Computing Foundations flagship conference gathers adopters and technologists from leading open source and cloud native communities. #KubeCon + #CloudNativeCon.
36
Talks
Day 3
15 talks
Driving Adoption and Automation With MCP in Production at Liftoff - Tommy Nguyen, Liftoff Mobile
applied aiai infrastructure
When an Agent Acts on Your Behalf, Who Holds the Keys? - Mariusz Sabath & Maia Iyer, IBM Research
applied aiai safety and ethicsai infrastructure
Slinky Expanded: Slurm, Kubernetes, and DRA - Praveen Krishna, Google & Marlow Warnicke, SchedMD LLC
ai infrastructure
To Swap or Not To Swap: Memory Management Design Patterns for AI Workloads in Kubernetes 1.34+ - Nic Vermande, ScaleOps
ai infrastructure
Your Models Are Vulnerable: How KitOps Turns KServe Into a Zero-Trust Inference Platform - Brad Micklea, Jozu & Gavrish Prabhu, Nutanix
ai infrastructureai safety and ethicsapplied ai
Least-Privilege for AI: Authorizing Agents and MCP Tools with Agentgateway and Kyverno - Luc Chmielowski, Nirmata & Nina Polshakova, Solo.io
applied aiai safety and ethicsai infrastructure
📚 Tutorial: AI on Kubernetes Without the Chaos: Building Reproducible ML Environments with Argo and Kubeflow - Nourhan Mohamed, KodeKloud
ai infrastructureapplied ai
Volcano: Orchestrating the Full AI Lifecycle – From Training To Inference and Agents - Chen Zicong, Huawei Technologies; Hajnal Máté, Aumovio
ai infrastructureapplied ai
Make GenAI Production-Ready With Kubernetes Patterns - Roland Huss, Red Hat & Bilgin Ibryam, Diagrid
applied aiai infrastructure
Kubeflow in Cloud Native AI: Orchestrating the Next Wave of Agentic AI and LLMOps - Johnu George, Nutanix; Valentina Rodriguez Sosa & Antonin Stefanutti, Red Hat; Alexander Perlman & Michael Zazula, Capital One
ai infrastructureapplied ai
Lessons Learned Orchestrating Multi-Tenant GPUs on OpenShift AI with NVIDIA KAI (G/H200) - Luca Berton, Dell Technologies
ai infrastructureapplied ai
Instrumenting Kueue Scheduling for ML Training - Amy Chen, CoreWeave & Gabriel Saba, Google
ai infrastructure
Locking Down Ray Serve: How to Secure Ur ML Models? - Kateryna Hrytsaienko, Valtech
ai infrastructureai safety and ethics
Breaking the Monolith: Decomposing and Governing Giant LLM Jobs Across Clusters - Kevin Wang, Huawei
ai infrastructureapplied ai
Day 4
11 talks
⚡ Lightning Talk: The $100K GPU Mystery: Why Your AI Training Dies at 99% - Michael Ifeanyi, Google
ai infrastructure
Fusing FinOps, Forecasting, and Kubernetes at Scale - Ankur Singh, Red Hat & Satyam Bhardwaj, Mirantis
ai infrastructureapplied ai
⚡ Lightning Talk: How To Responsibly and Effectively Contribute To Open Source Using AI - Tyler Helmuth, Honeycomb
applied aiai safety and ethics
GPUs on Kubernetes: What Actually Happens When You Request Nvidia.com/gpu: 1 - Gulcan Topcu & Daniele Polencic, LearnKube
ai infrastructure
Sandbox Operator: Enabling Session-Aware, Efficient MCP Tool Execution in Kubernetes - Mingshan Zhao & Zhen Zhang, Alibaba
applied aiai infrastructure
📚 Tutorial: Building Intelligent Apps with RAG on Kubernetes: From Raw Data to Real-Time Insights - Cedric Clyburn, Natale Vinto, Christopher Nuland & Legare Kerrison, Red Hat
applied aiai infrastructure
Peeking Into the GPU Black Box: Continuous Profiling on Kubernetes With eBPF - Zahari Dichev, Buoyant
ai infrastructure
Route, Serve, Adapt, Repeat: Adaptive Routing for AI Inference Workloads in Kubernetes - Nir Rozenbaum, Red Hat & Kellen Swain, Google
ai infrastructureapplied ai
Enterprise Challenges with MCP Adoption - Christian Posta, Solo.io
applied aiai safety and ethicsai infrastructure
REST in Peace: AI Needs to Be Async - Meet Asya🎭 - Artem Yushkovskiy, Delivery Hero
applied aiai infrastructure
Optimizing LLM Inference for the Rest of Us - Abdel Sghiouar, Google
ai infrastructurefoundation models
Day 5
10 talks
Optimizing Error Recovery for Cost-Efficient Distributed AI Model Training with Kubernetes - Radostin Stoyanov, University of Oxford & Andrey Velichkevich, Apple; Viktória Spišáková, Masaryk University
ai infrastructure
Evolving KServe: The Unified Model Inference Platform for Both Predictive and Generative AI - Filippe Spolti & Jooho Lee, Red Hat
ai infrastructureapplied ai
From Logs to Decisions: Autonomous AI Agents for Real-Time Kubernetes Threat Response - Willem Berroubache, Orange
applied aiai safety and ethics
📚 Tutorial: KV-Cache Wins You Can Feel: Building AI-Aware LLM Routing on Kubernetes - Tyler Michael Smith, Red Hat; Kay Yan, DaoCloud; Vita Bortnikov, Nili Guy & Maroon Ayoub, IBM
ai infrastructurefoundation modelsapplied ai
Advancing Kubernetes AI Conformance: Current State and Roadmap - Yuan Tang, Red Hat; Mario Fahlandt, Kubermatic; Janet Kuo, Google
ai infrastructureapplied ai
Cloud Native at the Far(m) Edge: Running Kubernetes and AI on Tractors - Mauro Morales, Spectro Cloud & Jordan Karapanagiotis, Aurea Imaging
ai infrastructurecomputer visionapplied ai
Achieving Resilient Multi-Cluster AI Inference on Kubernetes With Karmada and KubeRay - Wei-Cheng Lai, Bloomberg & Han-Ju Chen, Anyscale
ai infrastructureapplied ai
AI Agents & Platform Engineering: Efficiency Boost or New Source of Trouble? - Hasith Kalpage, Cisco; Vincent Caldeira, Red Hat; Sara Qasmi, United Nations; Idit Levine, Solo.io; Carlos Santana, AWS
applied aiai infrastructureai safety and ethics
Virtualizing Large Scale GPU Cluster for Sovereign AI: Petasus AI Cloud Journey with Kubernetes - Jian Li, SK Telecom
ai infrastructure
AI'm at the Gate! Introducing the AI Gateway Working Group in Kubernetes - Morgan Foster & Nir Rozenbaum, Red Hat; Shachar Tal, Palo Alto Networks
ai infrastructureapplied ai