Running Multiple AI Workloads on One GPU with HAMi: Architecture and Gotchas

GPUs are expensive. Kubernetes doesn't share them well yet, and DRA is still work in progress. HAMi brings heterogeneous GPU sharing to Kubernetes. This talk covers how HAMi hijacks CUDA calls without touching your application code, why memory isolation matters, and real production use cases where teams cut GPU costs by 40-60%.