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총 3개| 이름 | 인기 | 작성자 | 변환 품질 | 최근 수정 |
|---|---|---|---|---|
| NVIDIA GPU for AI Workloads — Efficiency, Cost & Health (DCGM)gpunvidiadcgm GPU monitoring for self-hosted AI: are your tensor cores actually working, what does each run cost in kWh, and is your VRAM degrading? Built and battle-tested on a local LLM rig (100B+ parameter models). Requires dcgm-exporter with DCP/profiling metrics enabled. Multi-GPU via UUID variable. | 0 0 | orangeoctopus1069 | 좋음 | |
| NVIDIA GPU Operator & DCGM Observabilityk8snvidiagpu-operator Live NVIDIA GPU Operator and DCGM exporter observability. Covers all 23 active DCGM metric families and GPU Operator health metrics; every panel has a Grafana hover-info description. | 0 0 | nafey1 | 보통 | |
| GPU Simulation - DCGM Overviewgpudcgmsimulation NVIDIA GPU overview from DCGM metrics: utilisation, framebuffer memory, temperature and power, one series per GPU. Works against a real dcgm-exporter unchanged; temperature and power ship as recording rules. | 0 0 | ChrisAdkin | 좋음 |