Difference between revisions of "Nvidia-smi"
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== See also == | == See also == | ||
* {{Nvidia}} | * {{Nvidia}} | ||
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+ | [[Category:Computing]] |
Revision as of 05:33, 7 May 2020
This article is a Draft. Help us to complete it.
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 | +-----------------------------------------------------------------------------+
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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