GPU Capacity Incident
Field note for GPU node pool Kubernetes incidents where accelerators are expensive, underutilized, or unavailable for LLM inference pods.
Field note for GPU node pool Kubernetes incidents where accelerators are expensive, underutilized, or unavailable for LLM inference pods.
Senior guide to GPU node pool design, scheduling, taints, labels, autoscaling, and capacity safety for LLM workloads on Kubernetes.
Debug GPU node pool scheduling for LLM inference with labels, taints, tolerations, GPU requests, quotas, autoscaling buffers, and cost signals.
Workload primitives, placement rules, and scheduling controls for reliable Kubernetes platforms.