More TensorFlow - GPU Checkout May 17, 2016 You use the nvidia-smi command to look at GPU memory usage. I’m doing some tests with TensorFlow. $ nvidia-smi Tue May 17 00:01:46 2016 +------------------------------------------------------+ | NVIDIA-SMI 352.93 Driver Version: 352.93 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GRID K520 Off | 0000:00:03.0 Off | N/A | | N/A 38C P0 68W / 125W | 4095MiB / 4095MiB | 98% Default | +-------------------------------+----------------------+----------------------+ | 1 GRID K520 Off | 0000:00:04.0 Off | N/A | | N/A 22C P8 17W / 125W | 90MiB / 4095MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 2 GRID K520 Off | 0000:00:05.0 Off | N/A | | N/A 27C P8 17W / 125W | 90MiB / 4095MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 3 GRID K520 Off | 0000:00:06.0 Off | N/A | | N/A 23C P8 17W / 125W | 90MiB / 4095MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 2198 C /home/ubuntu/anaconda3/bin/python 3710MiB | | 0 2457 C /home/ubuntu/anaconda3/bin/python 368MiB | | 1 2198 C /home/ubuntu/anaconda3/bin/python 37MiB | | 1 2457 C /home/ubuntu/anaconda3/bin/python 37MiB | | 2 2198 C /home/ubuntu/anaconda3/bin/python 37MiB | | 2 2457 C /home/ubuntu/anaconda3/bin/python 37MiB | | 3 2198 C /home/ubuntu/anaconda3/bin/python 37MiB | | 3 2457 C /home/ubuntu/anaconda3/bin/python 37MiB | +-----------------------------------------------------------------------------+