Category : nvidia-docker

I set up CUDA on WSL2 Ubuntu 20.04 and am able to successfully run commands like: docker run –gpus all nvcr.io/nvidia/k8s/cuda-sample:nbody nbody -gpu -benchmark and docker run -it –gpus all -p 8888:8888 tensorflow/tensorflow:latest-gpu-py3-jupyter but docker run –gpus all –rm nvidia/cuda:10.0-runtime nvidia-smi gives me this error and I do not have a good mental model of ..

Read more

I want to run a container based on python:3.8.8-slim-buster that needs access to the GPU. When I build it from this Dockerfile: FROM python:3.8.8-slim-buster CMD ["sleep", "infinity"] and then run it with "–gpus all" flag and exec nvidia-smi i get a proper response: Sat Jun 19 12:26:57 2021 +—————————————————————————–+ | NVIDIA-SMI 465.27 Driver Version: 465.27 ..

Read more

I’m building a custom rapidsai docker image based on its devel image. Here is the docker file. FROM rapidsai/rapidsai-dev:0.19-cuda11.0-devel-ubuntu18.04-py3.7 # Defining working directory and adding source code WORKDIR /usr/src/app RUN echo "Make sure cuml is installed:" RUN python -c "import cuml" But it returns an error saying: Step 4/4 : RUN python -c "import cuml" ..

Read more

I am trying to run the clara train example, but when I execute the startClaraTrainNoteBooks.sh, the container cannot find the nvidia driver. I already know that the script executes docker-compose.yml. So I tested whether docker-compose can found the nvidia driver: services: test: image: nvidia/cuda:10.2-base command: nvidia-smi deploy: resources: reservations: devices: – driver: nvidia capabilities: [gpu] ..

Read more

I am using base container from https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/supported-tags.md My definition file starts with Bootstrap: docker From: nvidia/cuda:10.0-cudnn7-devel-ubuntu18.04 My Host OS has CUDA version 11.0. I am using the following commands to build my container singularity build –sandbox mycontainer/ new.def singularity shell –nv –writable mycontainer/ The –nv flag leads to using drivers from the host OS(cuda 11.0), ..

Read more

Initial: I’m using Windows 10, running docker command on the powershell. My Local disk space is low but I’m running this on my hard disk (D:). Command line: PS D:BiopCLARA_method> docker pull nvcr.io/nvidia/clara-train-sdk:v3.1.01 v3.1.01: Pulling from nvidia/clara-train-sdk 7595c8c21622: Pulling fs layer d13af8ca898f: Pulling fs layer {… … … … more of the same codes and ..

Read more