nvidia-container-toolkit | Build and run containers leveraging NVIDIA GPUs | GPU library

 by   NVIDIA Go Version: v1.13.1 License: Apache-2.0

X-RayKey FeaturesCode SnippetsCommunity Discussions(6)VulnerabilitiesInstallSupport

kandi X-RAY | nvidia-container-toolkit Summary

kandi X-RAY | nvidia-container-toolkit Summary

nvidia-container-toolkit is a Go library typically used in Hardware, GPU applications. nvidia-container-toolkit has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The NVIDIA Container Toolkit allows users to build and run GPU accelerated containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Product documentation including an architecture overview, platform support, and installation and usage guides can be found in the documentation repository.
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            kandi-support Support

              nvidia-container-toolkit has a low active ecosystem.
              It has 254 star(s) with 64 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 28 open issues and 28 have been closed. On average issues are closed in 63 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nvidia-container-toolkit is v1.13.1

            kandi-Quality Quality

              nvidia-container-toolkit has no bugs reported.

            kandi-Security Security

              nvidia-container-toolkit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              nvidia-container-toolkit is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              nvidia-container-toolkit releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nvidia-container-toolkit and discovered the below as its top functions. This is intended to give you an instant insight into nvidia-container-toolkit implemented functionality, and help decide if they suit your requirements.
            • SignalContainerd sends a SIGHUP signal to the containerd
            • SignalDocker sends a SIGHUP signal to the docker daemon
            • doPrestart executes the nvidia container .
            • installToolkitConfig installs the toolkit config to the nvidia container .
            • Install the toolkit toolkit
            • getNvidiaConfig returns the nvidia config for the given hook config .
            • isPrivileged returns true if s is privileged .
            • getDevicesFromEnvvar gets devices from environment variables .
            • Setup initializes the containerd .
            • Cleanup cleans up the containerd config
            Get all kandi verified functions for this library.

            nvidia-container-toolkit Key Features

            No Key Features are available at this moment for nvidia-container-toolkit.

            nvidia-container-toolkit Examples and Code Snippets

            No Code Snippets are available at this moment for nvidia-container-toolkit.

            Community Discussions

            Trending Discussions on nvidia-container-toolkit

            Why Yum package can be listed but not removed?
            Using GPU inside docker container - CUDA Version: N/A and torch.cuda.is_available returns False
            in docker tensorflow/tensorflow:latest-gpu was unable to find libcuda.so DSO
            Is there a way to run RAPIDS on windows pc?
            jupyter notebook running in docker on remote server: keras not using gpu
            Docker service with GPU configured in compose file; no GPU recognized by Keras

            QUESTION

            Why Yum package can be listed but not removed?
            Asked 2020-Oct-27 at 19:55

            When I list packages that contain nvidia using sudo yum list | grep nvidia I get this list:

            ...

            ANSWER

            Answered 2020-Oct-27 at 19:55

            yum list lists all available packages, while yum list installed only lists installed packages.

            So you should try the command yum list installed | grep nvidia.

            Source https://stackoverflow.com/questions/64559380

            QUESTION

            Using GPU inside docker container - CUDA Version: N/A and torch.cuda.is_available returns False
            Asked 2020-Oct-19 at 06:59

            I'm trying to use GPU from inside my docker container. I'm using docker with version 19.03 on Ubuntu 18.04.

            Outside the docker container if I run nvidia-smi I get the below output.

            ...

            ANSWER

            Answered 2020-Oct-19 at 06:59

            docker run --rm --gpus all nvidia/cuda nvidia-smi should NOT return CUDA Version: N/A if everything (aka nvidia driver, CUDA toolkit, and nvidia-container-toolkit) is installed correctly on the host machine.

            Given that docker run --rm --gpus all nvidia/cuda nvidia-smi returns correctly. I also had problem with CUDA Version: N/A inside of the container, which I had luck in solving:

            Please see my answer https://stackoverflow.com/a/64422438/2202107 (obviously you need to adjust and install the matching/correct versions of everything)

            Source https://stackoverflow.com/questions/63751883

            QUESTION

            in docker tensorflow/tensorflow:latest-gpu was unable to find libcuda.so DSO
            Asked 2020-Jul-08 at 09:27

            sudo docker run --gpus all -it --rm tensorflow/tensorflow:latest-gpu
            python -c "import tensorflow as tf; tf.config.list_physical_devices('GPU')"

            ...

            ANSWER

            Answered 2020-Jul-08 at 09:27

            modify /etc/nvidia-container-runtime/config.toml from "@/sbin/ldconfig" to "/sbin/ldconfig"

            Source https://stackoverflow.com/questions/62608693

            QUESTION

            Is there a way to run RAPIDS on windows pc?
            Asked 2019-Dec-16 at 21:51

            I am trying to run Nvidia rapids on a windows computer but haven't had any luck. I have installed docker desktop for windows and downloaded the rapids image. Cuda 10.0 is installed, and Nvidia-container-toolkit isn't. I haven't been able to make it run. Any thoughts or guidance?

            ...

            ANSWER

            Answered 2019-Dec-16 at 21:51

            No. As it exists now, RAPIDS requires a Linux host. This came up in a recent workshop by NVIDIA. It was also mentioned that RAPIDS won't work with WSL. It may work with WSL version 2, but I haven't tried it nor am aware of someone that as.

            The only option would if you could assign a GPU to a Linux VM on the Windows host. This possible but sufficiently complex that dual-booting is a better solution.

            Source https://stackoverflow.com/questions/58623169

            QUESTION

            jupyter notebook running in docker on remote server: keras not using gpu
            Asked 2019-Nov-21 at 19:00

            I'm setting up a jupyter notebook run on a remote server but my code appears not to be using the GPU. It looks like tensorflow is identifying the GPU but Keras is missing it somehow. Is there something in my setup process leading to this?

            I installed nvidia docker via the github instructions:

            ...

            ANSWER

            Answered 2019-Nov-21 at 19:00

            Try installing another image, I also had problems with custom images so I went with a direct nvidia image:

            Source https://stackoverflow.com/questions/58981627

            QUESTION

            Docker service with GPU configured in compose file; no GPU recognized by Keras
            Asked 2019-Nov-11 at 15:11

            I've got a multi-service application configured in a v3.5 docker compose file.

            One of the services is to have access to the (one) GPU on the (one) node in the swarm. However, if I start the service using the docker compose file, I don't seem to have access to the GPU, as reported by keras:

            ...

            ANSWER

            Answered 2019-Nov-11 at 15:11

            NVIDIA-Docker is only working on Docker Compose 2.3

            Change version to version: '2.3'

            https://github.com/NVIDIA/nvidia-docker/wiki#do-you-support-docker-compose.

            Source https://stackoverflow.com/questions/57906490

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install nvidia-container-toolkit

            For instructions on getting started with the NVIDIA Container Toolkit, refer to the installation guide.

            Support

            Please let us know by filing a new issueYou can contribute by creating a merge request to our public GitLab repository
            Find more information at:

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