Uploaded August 2026 | Updated September 2026, 2 weeks ago
Don't miss out! Join us at our next KubeCon + CloudNativeCon events in Shanghai, China (8-9 September, 2026) and Salt Lake City, United States (Nov 9–12, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at kubecon.io
Project Lightning Talk: CoHDI: Dynamic Hardware Composition for AI‑Era Kubernetes Workloads - Naoki Oguchi, Fsas Technologies Inc.
Kubernetes has traditionally been optimized for deploying workloads on homogeneous servers in cloud environments. However, the rapid adoption of AI workloads is fundamentally changing this assumption, requiring Kubernetes to operate on increasingly heterogeneous hardware, including GPUs and other accelerators.
Efficiently utilizing limited and expensive hardware resources has become a critical challenge. This talk introduces CoHDI (Composable Hardware in Disaggregated Infrastructure), a CNCF Sandbox project that explores dynamic hardware composition by attaching and detaching high‑value devices based on workload demand.
The talk outlines how this approach aligns with ongoing Kubernetes efforts for safe dynamic hardware allocation, including binding conditions that allow scheduler to declaratively wait for required devices. Attendees will gain a concise understanding of why dynamic hardware composition is becoming essential for AI‑era Kubernetes and how the community is addressing it.
Don't miss out! Join us at our next KubeCon + CloudNativeCon events in Shanghai, China (8-9 September, 2026) and Salt Lake City, United States (Nov 9–12, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at kubecon.io
Project Lightning Talk: CoHDI: Dynamic Hardware Composition for AI‑Era Kubernetes Workloads - Naoki Oguchi, Fsas Technologies Inc.
Kubernetes has traditionally been optimized for deploying workloads on homogeneous servers in cloud environments. However, the rapid adoption of AI workloads is fundamentally changing this assumption, requiring Kubernetes to operate on increasingly heterogeneous hardware, including GPUs and other accelerators.
Efficiently utilizing limited and expensive hardware resources has become a critical challenge. This talk introduces CoHDI (Composable Hardware in Disaggregated Infrastructure), a CNCF Sandbox project that explores dynamic hardware composition by attaching and detaching high‑value devices based on workload demand.
The talk outlines how this approach aligns with ongoing Kubernetes efforts for safe dynamic hardware allocation, including binding conditions that allow scheduler to declaratively wait for required devices. Attendees will gain a concise understanding of why dynamic hardware composition is becoming essential for AI‑era Kubernetes and how the community is addressing it.
