HAMi is a CNCF Incubation project for heterogeneous GPU virtualization in Kubernetes, supporting 10+ GPU/NPU vendors.

Attendees set up HAMi on their laptop - with or without a GPU - and trace how the device plugin intercepts GPU requests, allocates vGPU resources, and integrates with the scheduler.

We follow the HAMi architecture and GPU virtualization model (project-hami.io/docs/core-concepts/gpu-virtualization), then explore the DRA integration path. Laptop with Go, kind, and a GitHub account required.