Nvidia-smi
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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. [1]
Related terms
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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