![nvidia 3d vision controller driver failed nvidia 3d vision controller driver failed](https://i.ytimg.com/vi/Y_KHStpodLE/maxresdefault.jpg)
Ii nvidia-profiler 7.5.18-0ubuntu1 amd64 NVIDIA Profiler for CUDA and OpenCL
![nvidia 3d vision controller driver failed nvidia 3d vision controller driver failed](https://i.pinimg.com/originals/7d/4e/af/7d4eaf51c86551bb30ad3c15e921c2b7.png)
Ii nvidia-prime 0.8.2 amd64 Tools to enable NVIDIA’s Prime Ii nvidia-opencl-dev:amd64 7.5.18-0ubuntu1 amd64 NVIDIA OpenCL development files Ii nvidia-docker2 2.2.2-1 all nvidia-docker CLI wrapper Ii nvidia-cuda-toolkit 7.5.18-0ubuntu1 amd64 NVIDIA CUDA development toolkit
![nvidia 3d vision controller driver failed nvidia 3d vision controller driver failed](http://2.bp.blogspot.com/-Jey7-bB0__g/TVzQb9iZHWI/AAAAAAAACPU/6Vj51aSduaE/s1600/nvidia-3d-vision-pro.jpg)
Ii nvidia-cuda-gdb 7.5.18-0ubuntu1 amd64 NVIDIA CUDA Debugger (GDB) Ii nvidia-cuda-doc 7.5.18-0ubuntu1 all NVIDIA CUDA and OpenCL documentation Ii nvidia-cuda-dev 7.5.18-0ubuntu1 amd64 NVIDIA CUDA development files Ii nvidia-container-toolkit 1.0.5-1 amd64 NVIDIA container runtime hook Rc nvidia-container-runtime-hook 1.4.0-1 amd64 NVIDIA container runtime hook Ii nvidia-container-runtime 3.1.4-1 amd64 NVIDIA container runtime Ii libnvidia-container1:amd64 1.0.5-1 amd64 NVIDIA container runtime library Ii libnvidia-container-tools 1.0.5-1 amd64 NVIDIA container runtime library (command-line tools) Make sure that the latest NVIDIA driver is installed and running.ībswitch, 0.8, 4.4.0-1095-aws, x86_64: installed NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver. When I start spacy trying I get “CUDARuntimeError: cudaErrorNoDevice: no CUDA-capable device is detected” error. I am Deep Learning AMI (Ubuntu 16.04) Version 24.3 (ami-0efc80b44966d8854) AWS server and I am unable to use GPU with Spacy for training model.