Type this exactly: cat /opt/ai-lab/deploy/ai-gateway.yaml
cat /opt/ai-lab/deploy/ai-gateway.yaml
Inspect GPU availability through a bounded evidence-first AI operations workflow in the training lab.
Serving, containers, and resourcescat /opt/ai-lab/deploy/ai-gateway.yamlaiops models compare inspect-gpu-availabilitysystemctl status ai-gateway
Click any instruction for the command details, the why, and the common mistake to avoid.
Type this exactly: cat /opt/ai-lab/deploy/ai-gateway.yaml
cat /opt/ai-lab/deploy/ai-gateway.yaml
Type this exactly: aiops models compare inspect-gpu-availability
aiops models compare inspect-gpu-availability
Type this exactly: systemctl status ai-gateway
systemctl status ai-gateway
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Use commands and observable output to explain inspect gpu availability without changing a real model or service.
Start with cat /opt/ai-lab/deploy/ai-gateway.yaml. Then run aiops models compare inspect-gpu-availability before collecting the final evidence.
Inspect GPU availability is an operator skill because AI behavior must be connected to versioned configuration, runtime state, and inspectable evidence.
aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
aiops prompts
Review versioned prompt metadata and deterministic prompt diffs.
aiops evals
Run and inspect bounded evaluation fixtures without model execution.
aiops rag
Inspect retrieval documents, chunks, index status, and reviewed results.
aiops traces
Read deterministic request traces, summaries, and latency evidence.
aiops guardrails
Review simulated guardrail policies, checks, and audit summaries.
aiops cost
Estimate cost and capacity from fixed training metrics.
aiops incidents
Review incident timelines, evidence bundles, and operator notes.
systemctl
Inspect the simulated AI gateway and supporting service state.