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GPU Node Lifecycle

Kubernetes GPU node operations demo · cordon, drain, upgrade, validate, repair, retire
t+0s

A simulated GPU cluster with four H100 nodes and real workloads: a 4-GPU training job, two vLLM replicas protected by a PodDisruptionBudget, a batch job and a notebook. Pick an operation on the right and watch each node move through its lifecycle, with the kubectl commands and NVIDIA GPU Operator labels at every step. Part of a series with GPU Cluster Watch and GPU Log Watch.

Node lifecycle · nodes in each state

Nodes

0 GPUs schedulable · 0 in use schedulable GPUsGPUs in use

Operations

Workloads

What happened · kubectl and controllers