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7-9 October, 2026
Prague, Czechia
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Important Note: Timing of sessions and room locations are subject to change.

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Wednesday October 7, 2026 15:35 - 16:15 CEST
Kubernetes has become the AI operating system (82% of container users run it in production and 66% use it for AI inference) but the real challenge is scaling inference, not training. Every prompt and every agent call runs inference, and standard Kubernetes routing is blind to the KV cache state and token dynamics that determine whether you hit your SLOs. This session covers the open stack the CNCF community is coalescing around to fix that: HAMi (now Incubating) for fractional GPU virtualization and hard accelerator isolation, Inference Gateway (GA) for model-aware traffic routing, llm-d (new CNCF Sandbox project) for cache and load-aware distributed inference, KServe (Incubating) for multi-model serving, and the KAR (Kubernetes AI Conformance Requirements) program now spanning 31 certified platforms. We’ll also cover four trends shaping the next 12 months of cloud native AI.
Speakers
avatar for Daniel Krook

Daniel Krook

Senior Director of Developer Experience, CNCF
Daniel Krook is the Senior Director of Developer Experience at the Cloud Native Computing Foundation (part of the Linux Foundation), where he and his team support the maintainers, contributors, and users across 225+ hosted open source projects. Previously a Principal Cloud Architect... Read More →
avatar for Jonathan Bryce

Jonathan Bryce

Executive Director, Cloud and Infrastructure, The Linux Foundation
Jonathan Bryce is the Executive Director of Cloud & Infrastructure at the Linux Foundation, where he leads both the Cloud Native Computing Foundation (CNCF) and the OpenInfra Foundation—two of the largest and most influential open source communities in the world. With over... Read More →
Wednesday October 7, 2026 15:35 - 16:15 CEST
South Hall 2 A (Floor 2)

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