Nvidia-smi

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nvidia-smi
nvidia-smi -l 1
watch -n 1 nvidia-smi

nvidia-smi

Sat Apr 11 11:31:22 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.104      Driver Version: 410.104      CUDA Version: 10.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla T4            On   | 00000000:21:01.0 Off |                    0 |
| N/A   35C    P0    26W /  70W |   2414MiB / 15079MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0     20148      C   /usr/bin/python                             2404MiB |
+-----------------------------------------------------------------------------+

macOS

In macOS there is no nvidia-smi command that comes with nvidia drivers. However, you could check this open-source alternative : https://github.com/phvu/cuda-smi

Edit in 2020 : As an alternative to nvidia-smi is Activity Monitor. Search on spotlight (cmd + space) and type Activity Monitor. When the program opens press cmd + 4. This will show you the active usage of GPU(s) on your system. I think this feature comes with High Sierra 10.13 prior to that there is no option for gpu history.

Related terms

• gpustat
• glances

See also

• Nvidia, GPU, Nvidia tools, nvidia-smi, CUDA, Nvidia Drive, Tegra, EVGA Corporation, A10, A100, H100, T4, L4, K80, gpustat, Nvidia Xavier, NVML, TOPS, Nvidia broadcast, Mellanox, Jensen Huang, NVIDIA driver, Nvidia RTX, Tensor Cores, Nvidia DGX, Nvidia Omniverse Cloud, Drive Thor, Ada, Hopper, NVIDIA device plugin for Kubernetes, NVIDIA DCGM, NVIDIA GPU Operator, Megatron-Core, NVLM, NVIDIA GPU Boost, NVSwitch, NVIDIA Driver R450+

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