What this guide shows
This poster walks through the path from a functioning Kubernetes cluster to a validated, observable, and production-ready GPU platform.
It highlights:
- prerequisite cluster services and tooling
- operator installation flow
- what happens before and after GPU worker nodes join
- node-level agents, plugins, and telemetry components
- readiness checks before running CUDA, PyTorch, NCCL, or inference workloads
Best for
- platform engineers bringing GPU workers into Kubernetes
- operators validating cluster readiness before onboarding workloads
- teams building an internal runbook for day-0 and day-1 GPU platform checks
Why it matters
GPU platforms fail quietly when prerequisites, plugins, node labels, runtime configuration, or observability are incomplete. This guide keeps those dependencies visible in one place.