GPU sharing in Kubernetes can be achieved through three main approaches: MIG provides hardware-level isolation for production workloads but requires specific NVIDIA GPUs and static configuration; time slicing offers flexible dynamic sharing across any NVIDIA GPU but with weaker isolation; custom schedulers like KAI enable
Table of contents
1. MIG: Multi-Instance GPU2. Time Slicing3. Fractional GPUs via Custom SchedulersSummary ComparisonFramework to Select the Right Fractional StrategyConclusionAuthorSort: