Linux GPU Monitor
A Linux-focused tool that estimates and reports GPU utilization, memory use, and temperatures, helping engineers optimize workloads and troubleshoot performance bottlenecks.
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About This Tool
Conceptually, the tool runs a configurable sampler that queries GPU drivers at fixed intervals and emits timestamped records. It supports NVIDIA via nvidia-smi and AMD via ROCm, with optional fallbacks to generic /proc data when available. Outputs are designed for ingestion by data pipelines, dashboards, or alerting rules.
Unique value lies in its portability, strict per-GPU reporting, and simple export formats. It provides consistent units (percent, MB/GB, Celsius, watts), handles data gaps gracefully, and can be integrated with existing monitoring stacks. Use cases include training queue management, batch job optimization, and proactive thermals/anomaly detection in shared workstations or data centers.
Core features include multi-GPU support, configurable sampling, per-GPU utilization/memory/temperature/power, ISO 8601 timestamps, JSON/CSV outputs, and optional aggregations. Typical workflows involve baseline characterization, threshold tuning, and exporting to dashboards for SLA and capacity planning.
How to Use
- Provide inputs: specify sampling_interval, gpu_ids (optional), metrics_to_collect.\n
- Start data collection by invoking the backend tool with the given configuration.\n
- The tool emits time-stamped per-GPU records and optional aggregates.\n
- Review results against baselines and adjust thresholds if needed.\n
- Export to JSON or CSV or feed into monitoring dashboards.
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