v1.0.0
Pre-release
Pre-release
What It Does
Real-time GPU monitoring (utilization, memory, temp, power) + intelligent benchmarking with auto-scaling workloads and performance baselines. Web dashboard + CLI interface.
Use Cases
- Power Users: Wanting to test their new GPUs, workflows etc. AIO monitoring and benchmarking tool.
Known Issues
- Per-process GPU %: Only CUDA workloads (graphics processes show 0%)
- Benchmark tab: Requires PyTorch/CuPy + CUDA Toolkit
- Setup: Windows PowerShell only (manual venv for Linux/Mac)
- Scope: Single-machine monitoring (multi-node in v2.0)
Installation
Extract ZIP → .\setup.ps1 → python health_monitor.py → http://localhost:8090
Requires: Python 3.8+, NVIDIA GPU with drivers
What's Changed
New Contributors
- @DataBoySu made their first contribution in #1
Full Changelog: https://github.com/DataBoySu/cluster-monitor/commits/v1.0.0