Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a comprehensive technical conference talk that delves into Dynamic Resource Allocation (DRA) in Kubernetes and its impact on GPU sharing strategies. Learn about different GPU sharing approaches including Multi-Instance GPUs, Multi-Process Service (MPS), and CUDA Time-Slicing through detailed benchmark comparisons. Discover which applications benefit most from each sharing strategy and how to combine multiple approaches for optimal performance. Gain practical insights through real-world application demonstrations and understand potential challenges and future enhancements in GPU resource management. Master the revolutionary capabilities of DRA for managing heterogeneous GPUs in a unified and configurable way, moving beyond traditional device plugin API limitations.