Real-time GPU memory analyzer with a cyberpunk dashboard. See exactly where your VRAM went — per-process dedicated and shared GPU memory, mapped to running processes with live auto-refresh.
Works on Windows (uses GPU performance counters for accurate per-process VRAM — nvidia-smi reports N/A for this on WDDM drivers, but vram-viz gets the real numbers).
pip install vram-vizOr run from source:
git clone https://github.com/olegp/vram-viz.git
cd vram-viz
pip install -e .vram-viz # opens at http://localhost:5111
vram-viz --port 8080 # custom portFeatures:
- Animated geometric mesh background
- Real-time GPU utilization sparkline chart
- VRAM treemap — proportional blocks showing which processes own what memory
- Per-process table with sortable columns and terminate buttons
- Auto-refresh every 3 seconds
- Subtle glitch title + scanning line effect
vram-viz --cli # one-shot terminal table
vram-viz --cli --top 10 # top 10 processes only
vram-viz --cli --watch 2 # refresh every 2svram-viz --json # pipe-friendly JSON dump| Layer | Source | What it provides |
|---|---|---|
| GPU stats | NVML (nvidia-ml-py) |
Total/used/free VRAM, temperature, utilization %, power draw |
| Per-process VRAM | Windows GPU Performance Counters | Dedicated + shared GPU memory per PID (the only reliable source on WDDM) |
| Process names | psutil |
Resolves PIDs to process names, executables, command lines |
- Windows 10+ (GPU performance counters are a Windows feature)
- NVIDIA GPU with drivers installed
- Python 3.9+
MIT