3 docs tagged with "gpu-sharing"

Deploy KAI Scheduler and kai-resource-isolator on GKE, adapt the COS/CDI runtime path, and prove per-Pod GPU memory isolation with CUDA allocations.

Install HAMi v2.10.0 on a GKE node with four Tesla T4s and observe spread, binpack, mutex, and the composed mutex,binpack chain through allocation annotations and scheduler logs.

Two physical GPUs, one cluster, twelve proofs. What HAMi isolates, what it can't, and how a service mesh sees the difference and routes around it.