lsgpu

List GPUs with details, outputs, and connected monitors.

Like lscpu, lsusb, lspci — but for graphics cards.

A useful CLI tool for Linux users and admins. Zero-dependency — no CUDA, no ROCm, no pycuda needed.

Features

• GPU details: name, driver, PCI address, VRAM
• NVIDIA stats: utilization, memory, temperature, power draw (via nvidia-smi)
• Output mapping: each port mapped to its connected monitor via EDID
• Monitor identification: manufacturer, model, serial, diagonal size
• JSON output for scripting
• No external Python dependencies, works with Python 3.6+

Installation

sudo cp lsgpu.py /usr/local/bin/lsgpu
sudo chmod +x /usr/local/bin/lsgpu

Usage

lsgpu              # Full output
lsgpu --short      # Compact one-line-per-GPU
lsgpu --json       # JSON output

Example output

GRAPHICS CARDS
==============

  card0: NVIDIA Corporation GA107 [GeForce RTX 3050 6GB] (rev a1)
         Driver: nvidia | VRAM: 6 GB | GPU:0% MEM:2077/6144MB 37°C 16.7W
    ├─ DP-4: connected ← Iiyama PL2792Q 27"
    ├─ HDMI-A-2: connected ← Iiyama PL2792Q 27"
    ├─ HDMI-A-3: connected ← Iiyama PL2792Q 27"

  card1: NVIDIA Corporation AD106 [GeForce RTX 4060 Ti] (rev a1)
         Driver: nvidia | VRAM: 16 GB | GPU:0% MEM:277/16380MB 41°C 14.9W
    ├─ DP-1: -
    ├─ DP-2: -
    ├─ DP-3: -
    ├─ HDMI-A-1: connected ← Samsung SAMSUNG 32"

  card2: Intel Corporation Arrow Lake-S [Intel Graphics] (rev 06)
         Driver: i915
    ├─ HDMI-A-4: connected ← Iiyama PL2793Q 27"
    ├─ HDMI-A-5: connected ← Samsung SAMSUNG 65"

Total: 3 GPU(s), 6 output(s) connected

Requirements

• Python 3.6+
• Linux with /sys/class/drm
• lspci (from pciutils)
• nvidia-smi (optional, for NVIDIA stats)

License

GPL-2.0. See LICENSE for the full text.