The GPU Shortage Inside Your Own Infrastructure: Why AI Workloads Queue While Capacity Sits Idle

GPU utilisation shows compute activity, not whether capacity is actually available. A GPU can report low utilisation while remaining fully allocated to one workload. This post explains why workloads queue beside idle-looking GPUs, how allocation, memory, placement, and application bottlenecks contribute, and how GPU sharing methods differ in their tradeoffs. Capsule: AI workloads can wait […] The post The GPU Shortage Inside Your Own Infrastructure: Why AI Workloads Queue While Capacity Sits Idle appeared first on AI News.