docs/en/reference/utils/autodevice.md

metadata

description: >-
  Discover how to automatically select the most idle GPU using PyTorch and
  NVIDIA (nvidia-ml-py) with this AutoDevice script. Ideal for optimizing GPU
  usage in deep learning and computer vision tasks.
keywords: >-
  Ultralytics, AutoDevice, GPU selection, PyTorch, NVML, pynvml, GPU monitoring,
  CUDA, deep learning, idle GPU, memory utilization, temperature, power usage

Reference for ultralytics/utils/autodevice.py

!!! success "Improvements"

This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/autodevice.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/autodevice.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏

::: ultralytics.utils.autodevice.GPUInfo