nvidia-persistenced keeps a handle on the GPU and blocks --gpu-reset · Issue #118 · NVIDIA/gpu-operator · GitHub
![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://global.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
![tensorflow - GPU utilization is N/A when using nvidia-smi for GeForce GTX 1650 graphic card - Stack Overflow tensorflow - GPU utilization is N/A when using nvidia-smi for GeForce GTX 1650 graphic card - Stack Overflow](https://i.stack.imgur.com/N3KOP.jpg)
tensorflow - GPU utilization is N/A when using nvidia-smi for GeForce GTX 1650 graphic card - Stack Overflow
![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)
vSphere 7 with Multi-Instance GPUs (MIG) on the NVIDIA A100 for Machine Learning Applications - Part 1: Introduction - Virtualize Applications
![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://global.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
![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/2020/09/3C-MIG-Enabled-with-Driver-450-73.png)
vSphere 7 with Multi-Instance GPUs (MIG) on the NVIDIA A100 for Machine Learning Applications - Part 2 : Profiles and Setup - Virtualize Applications
![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://global.discourse-cdn.com/nvidia/optimized/3X/8/2/8236608cb2032c1c0e1a0ccbddb17d0e9852bf23_2_1024x409.jpeg)
10 GB of GPU RAM used, and no process listed by nvidia-smi - CUDA Setup and Installation - NVIDIA Developer Forums
![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)