nvidia-smi.txt Page 1 nvidia-smi(1) NVIDIA nvidia-smi(1) NAME nvidia-smi - NVIDIA System Management Interface progra
![apt - Cuda: NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver - Ask Ubuntu apt - Cuda: NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver - Ask Ubuntu](https://i.stack.imgur.com/Ktdib.png)
apt - Cuda: NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver - Ask Ubuntu
![Nvidia-smi shows high global memory usage, but low in the only process - CUDA Programming and Performance - NVIDIA Developer Forums Nvidia-smi shows high global memory usage, but low in the only process - CUDA Programming and Performance - NVIDIA Developer Forums](https://aws1.discourse-cdn.com/nvidia/original/3X/8/a/8a79976738b6c7af6fc8232a10e3e75dc0acfb34.png)
Nvidia-smi shows high global memory usage, but low in the only process - CUDA Programming and Performance - NVIDIA Developer Forums
![10 GB of GPU RAM used, and no process listed by nvidia-smi - CUDA Setup and Installation - NVIDIA Developer Forums 10 GB of GPU RAM used, and no process listed by nvidia-smi - CUDA Setup and Installation - NVIDIA Developer Forums](https://aws1.discourse-cdn.com/nvidia/optimized/3X/8/2/8236608cb2032c1c0e1a0ccbddb17d0e9852bf23_2_690x276.jpeg)
10 GB of GPU RAM used, and no process listed by nvidia-smi - CUDA Setup and Installation - NVIDIA Developer Forums
![Bug: GPU resources not released appropriately when graph is reset & session is closed · Issue #18357 · tensorflow/tensorflow · GitHub Bug: GPU resources not released appropriately when graph is reset & session is closed · Issue #18357 · tensorflow/tensorflow · GitHub](https://user-images.githubusercontent.com/15898956/38519614-6ad30aec-3c0e-11e8-895e-b9b2d20dab17.png)
Bug: GPU resources not released appropriately when graph is reset & session is closed · Issue #18357 · tensorflow/tensorflow · GitHub
![Install CUDA 11.2, cuDNN 8.1.0, PyTorch v1.8.0 (or v1.9.0), and python 3.9 on RTX3090 for deep learning | by Yifan Guo | Analytics Vidhya | Medium Install CUDA 11.2, cuDNN 8.1.0, PyTorch v1.8.0 (or v1.9.0), and python 3.9 on RTX3090 for deep learning | by Yifan Guo | Analytics Vidhya | Medium](https://miro.medium.com/max/1200/1*q7mCQf9a3icNBIFYAe_OcQ.png)
Install CUDA 11.2, cuDNN 8.1.0, PyTorch v1.8.0 (or v1.9.0), and python 3.9 on RTX3090 for deep learning | by Yifan Guo | Analytics Vidhya | Medium
![GPU memory is empty, but CUDA out of memory error occurs - CUDA Programming and Performance - NVIDIA Developer Forums GPU memory is empty, but CUDA out of memory error occurs - CUDA Programming and Performance - NVIDIA Developer Forums](https://i.stack.imgur.com/gGL8v.png)
GPU memory is empty, but CUDA out of memory error occurs - CUDA Programming and Performance - NVIDIA Developer Forums
![vSphere 7 with Multi-Instance GPUs (MIG) on the NVIDIA A100 for Machine Learning Applications - Part 2 : Profiles and Setup - Virtualize Applications vSphere 7 with Multi-Instance GPUs (MIG) on the NVIDIA A100 for Machine Learning Applications - Part 2 : Profiles and Setup - Virtualize Applications](https://blogs.vmware.com/apps/files/2020/09/27-Disabled-MIG-A100-host-server-nvidia-smi-output-1024x411.png)
vSphere 7 with Multi-Instance GPUs (MIG) on the NVIDIA A100 for Machine Learning Applications - Part 2 : Profiles and Setup - Virtualize Applications
![Nvidia-smi product name error and no cuda capable device - CUDA Setup and Installation - NVIDIA Developer Forums Nvidia-smi product name error and no cuda capable device - CUDA Setup and Installation - NVIDIA Developer Forums](https://aws1.discourse-cdn.com/nvidia/original/3X/c/7/c73f810de103e60717283a197367ecdf3f1b0523.png)
Nvidia-smi product name error and no cuda capable device - CUDA Setup and Installation - NVIDIA Developer Forums
![vSphere 7 with Multi-Instance GPUs (MIG) on the NVIDIA A100 for Machine Learning Applications - Part 1: Introduction - Virtualize Applications vSphere 7 with Multi-Instance GPUs (MIG) on the NVIDIA A100 for Machine Learning Applications - Part 1: Introduction - Virtualize Applications](https://blogs.vmware.com/apps/files/2020/09/0A-MIG-cleaner-architecture-1024x649.png)