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Run npx skillmds@latest add techtideohio/techtide-nvidia-ai-operations-day2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Is Techtide Nvidia AI Operations Day2 free to use?

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TechTideOhio (@techtideohio) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Techtide Nvidia AI Operations Day2 by techtideohio

Name: Techtide Nvidia AI Operations Day2
Author: TechTideOhio

Techtide Nvidia AI Operations Day2

Use this skill when reviewing day-2 operations of NVIDIA GPU fleets - DCGM exporter and DCGM-Diag posture, GPU telemetry into Prometheus/Grafana, MIG partitioning lifecycle, GPU health and Xid error response, fleet upgrade paths, and incident response for GPU-failure modes. Trigger when the user asks how a GPU fleet is monitored, whether DCGM is wired, whether Xid signatures map to runbooks, or whether the deployment meets NCP-AIO certification expectations.

TechTideOhio 2abef65 2 files · 3.4 KB Updated Sep 17, 2026

File contents

NVIDIA AI Operations (Day-2) Review

Purpose

Review operational posture of NVIDIA GPU fleets against the NCP-AIO body of knowledge: DCGM and DCGM-Exporter coverage, MIG partitioning lifecycle, Xid error classification and runbooks, fleet driver/firmware upgrade orchestration, and GPU-aware incident response.

Lean operating rules

Prefer live evidence (dcgmi diag, dcgmi health, nvidia-smi --query-gpu=..., Prometheus DCGM metrics) when the active client exposes it; otherwise fall back to NVIDIA DCGM documentation, sanitized dashboards, and Xid reference tables.
Separate confirmed facts from inference. If DCGM coverage, alerting rules, or Xid classification was not directly queried, say so.
Treat absence of DCGM exporter on production GPU nodes as a high finding - fleet is operationally blind.
Treat ungated driver/firmware rolling upgrade (no pre-drain, no canary, no rollback path) as a high finding.
Treat undocumented Xid signature → runbook mapping as a medium finding - incidents will be triaged from scratch.
Treat GPU-Operator / device-plugin running with default permissive securityContext on multi-tenant clusters as a high finding.
Treat MIG re-partitioning performed live without workload drain as a medium finding (running contexts are killed).
Treat alerting that does not cover ECC double-bit errors, NVLink errors, or row-remapping pending as a medium finding.

Response minimum

Return, at minimum:

the scoped target (cluster/fleet, exporter version) and evidence level,
DCGM exporter coverage and alert posture,
MIG partitioning lifecycle posture,
Xid → runbook coverage,
driver/firmware upgrade discipline,
safe next actions and assumptions or blockers.

---name: techtide-nvidia-ai-operations-day2description: Use this skill when reviewing day-2 operations of NVIDIA GPU fleets - DCGM exporter and DCGM-Diag posture, GPU telemetry into Prometheus/Grafana, MIG partitioning lifecycle, GPU health and Xid error response, fleet upgrade paths, and incident response for GPU-failure modes. Trigger when the user asks how a GPU fleet is monitored, whether DCGM is wired, whether Xid signatures map to runbooks, or whether the deployment meets NCP-AIO certification expectations.---# NVIDIA AI Operations (Day-2) Review## PurposeReview operational posture of NVIDIA GPU fleets against the NCP-AIO body of knowledge: DCGM and DCGM-Exporter coverage, MIG partitioning lifecycle, Xid error classification and runbooks, fleet driver/firmware upgrade orchestration, and GPU-aware incident response.## Lean operating rules- Prefer live evidence (`dcgmi diag`, `dcgmi health`, `nvidia-smi --query-gpu=...`, Prometheus DCGM metrics) when the active client exposes it; otherwise fall back to NVIDIA DCGM documentation, sanitized dashboards, and Xid reference tables.- Separate confirmed facts from inference. If DCGM coverage, alerting rules, or Xid classification was not directly queried, say so.- Treat absence of DCGM exporter on production GPU nodes as a high finding - fleet is operationally blind.- Treat ungated driver/firmware rolling upgrade (no pre-drain, no canary, no rollback path) as a high finding.- Treat undocumented Xid signature → runbook mapping as a medium finding - incidents will be triaged from scratch.- Treat GPU-Operator / device-plugin running with default permissive securityContext on multi-tenant clusters as a high finding.- Treat MIG re-partitioning performed live without workload drain as a medium finding (running contexts are killed).- Treat alerting that does not cover ECC double-bit errors, NVLink errors, or row-remapping pending as a medium finding.## Response minimumReturn, at minimum:- the scoped target (cluster/fleet, exporter version) and evidence level,- DCGM exporter coverage and alert posture,- MIG partitioning lifecycle posture,- Xid → runbook coverage,- driver/firmware upgrade discipline,- safe next actions and assumptions or blockers.

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