{
  "id": "nvidia-generative-ai-platform-review",
  "name": "NVIDIA Generative AI Platform Review",
  "type": "skill",
  "provider": "nvidia",
  "harnesses": [
    "codex",
    "copilot",
    "claude-code",
    "cursor",
    "gemini",
    "kiro"
  ],
  "summary": "Review NVIDIA generative-AI platforms per NCA-GENL / NCA-GENM / NCP-GENL \u2014 NeMo training and customization, NIM inference microservices, model card and weights provenance, evaluation harness, and guardrails posture.",
  "source_type": "original",
  "official_docs": [
    "https://www.nvidia.com/en-us/learn/certification/",
    "https://docs.nvidia.com/ai-enterprise/",
    "https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/",
    "https://docs.nvidia.com/nim/",
    "https://docs.nvidia.com/dcgm/",
    "https://docs.nvidia.com/networking/",
    "https://docs.nvidia.com/nemo-framework/"
  ],
  "security_notes": "NIM containers pulled without cosign verification have unverified image trust. Missing model cards block audit reconstruction. NeMo Guardrails bypassable on externally exposed LLM endpoints is critical for regulated workloads.",
  "last_verified": "2026-05-10",
  "path": "skills/nvidia/nvidia-generative-ai-platform-review/",
  "category": "ai",
  "certifications": [
    "NCA-GENL",
    "NCA-GENM",
    "NCP-GENL"
  ],
  "author": "github: VincentChuWaiChow",
  "version": "0.1.0"
}