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

This tool provides Linux-focused GPU utilization monitoring with per-GPU granularity. It targets system administrators, DevOps engineers, ML engineers, and performance analysts who need consistent visibility into GPU workloads, memory pressure, temperatures, and power draw. By collecting metrics from standard interfaces, it avoids vendor lock-in while enabling cross-vendor comparisons and capacity planning.
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

  1. Provide inputs: specify sampling_interval, gpu_ids (optional), metrics_to_collect.\n
  2. Start data collection by invoking the backend tool with the given configuration.\n
  3. The tool emits time-stamped per-GPU records and optional aggregates.\n
  4. Review results against baselines and adjust thresholds if needed.\n
  5. Export to JSON or CSV or feed into monitoring dashboards.
How to use monitor gpu utilization linux

Frequently Asked Questions

Find Quick Answers

What platforms are supported?
The tool supports Linux systems with NVIDIA or AMD GPUs. It relies on standard interfaces (nvidia-smi for NVIDIA, ROCm for AMD) and, when unavailable, falls back to basic /proc data if accessible. It does not support Windows or macOS.
What metrics are collected?
Per-GPU metrics include utilization_percent, memory_used_mb, temperature_c, and power_w, with a timestamp and gpu_id. Optional aggregates like average utilization or peak memory can be generated on request.
How are results exported?
Outputs are provided in JSON or CSV formats, with options for newline-delimited JSON for streaming. The data is structured per-sample per-GPU to support ingestion by dashboards or SIEM-like pipelines.
How to enable alerts?
Configure threshold rules on utilization, temperature, or power within your monitoring stack; the tool can emit status flags per sample and can be piped into Prometheus exporters or alert managers.

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