nvidia-container-runtime VS container-images

Compare nvidia-container-runtime vs container-images and see what are their differences.

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nvidia-container-runtime container-images
3 10
1,089 -
- -
0.0 -
over 1 year ago -
Makefile
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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nvidia-container-runtime

Posts with mentions or reviews of nvidia-container-runtime. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-10-29.

container-images

Posts with mentions or reviews of container-images. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-06-04.
  • How to setup a free, self-hosted AI model for use with VS Code
    3 projects | dev.to | 4 Jun 2024
    Note you should select the NVIDIA Docker image that matches your CUDA driver version. Look in the unsupported list if your driver version is older.
  • Accelerate Machine Learning Local Development and Test Workflows with Nvidia Docker
    6 projects | dev.to | 12 Feb 2023
    FROM tensorflow/tensorflow:1.15.5-gpu-py3 # Handle Nvidia public key update and update repositories for Ubuntu 18.x. #https://github.com/sangyun884/HR-VITON/issues/45 # reference: https://jdhao.github.io/2022/05/05/nvidia-apt-repo-public-key-error-fix/ RUN rm /etc/apt/sources.list.d/cuda.list RUN rm /etc/apt/sources.list.d/nvidia-ml.list RUN apt-key del 7fa2af80 # Additional reference: https://gitlab.com/nvidia/container-images/cuda/-/issues/158 RUN export this_distro="$(cat /etc/os-release | grep '^ID=' | awk -F'=' '{print $2}')" \ && export this_version="$(cat /etc/os-release | grep '^VERSION_ID=' | awk -F'=' '{print $2}' | sed 's/[^0-9]*//g')" \ && apt-key adv --fetch-keys "https://developer.download.nvidia.com/compute/cuda/repos/${this_distro}${this_version}/x86_64/3bf863cc.pub" \ && apt-key adv --fetch-keys "https://developer.download.nvidia.com/compute/machine-learning/repos/${this_distro}${this_version}/x86_64/7fa2af80.pub" # get the latest version of OpenCV RUN apt-get update && \ DEBIAN_FRONTEND=noninteractive \ apt-get install -y -qq \ wget git libopencv-dev RUN python -m pip install --upgrade pip && \ pip install matplotlib opencv-python==4.5.4.60 Pillow scipy \ azure-eventhub azure-eventhub-checkpointstoreblob-aio ipykernel WORKDIR /
  • Run Playwright tests with hardware acceleration on a GPU-enabled EC2 instance with Docker support
    1 project | dev.to | 4 Aug 2022
    As far as I can see, the way Google Chrome developers chose to support hardware acceleration under Linux is through Vulkan (here and here) According to Nvidia, there's no official support for Vulkan inside Docker. Although it seems that FAQ hasn't been updated because I was able to find a Docker container with Vulkan support here.
  • CUDA 11.7 released with Ubuntu 22.04 support
    1 project | /r/nvidia | 16 May 2022
    Looking forward to the CUDA containers getting released!
  • How to build ZED 2i Camera x ROS2 Foxy x Nvidia Jetson x Ubuntu 18.04 via Docker
    7 projects | dev.to | 15 Sep 2021
  • Running Nvidia drivers in Clear Linux or Flatcar?
    5 projects | /r/homelab | 30 Aug 2021
    That leaves Flatcar and Clear Linux - both of which happen to at least have documentation for installing/running Nvidia drivers and CUDA. Flatcar has this repository from Nvidia, and I've also found this project called forklift which will supposedly handle auto-updating the kernel modules for you. The Clear Linux docs also seem to include a method to auto-rebuild the modules with kernel upgrades, though it does say that the driver version needs to be updated manually, which honestly almost sounds preferable considering how finicky Nvidia drivers can be on Linux. Clear Linux also has several other tutorials/guides that appear to try and market it for things like machine learning, which leads me to believe that Nvidia gpus would hopefully work decently on it.
  • Is it possible to install Nvidia drivers?
    3 projects | /r/virtualbox | 11 Aug 2021
    To add CUDA I plan on adding the stuff from this Docker script.
  • Can you add CUDA to a docker container?
    3 projects | /r/docker | 10 Aug 2021
    You can use the cuda dockerfile as reference: https://gitlab.com/nvidia/container-images/cuda/-/blob/master/Dockerfile
  • KDE Development with Podman
    3 projects | dev.to | 10 Aug 2021
    However, getting Nvidia to work was much more complicated. Now, I am not a container expert, so a lot of it was because of my unfamiliarity with the technology. At first, I had to get nvidia-container-toolkit using CentOS package. The test containers given in the instructions here worked fine. However, I soon understood that nvidia-container-toolkit requires basing the image on nvidia official containers or going through this and figure out how to create a custom container. Most documentation online seemed to be about nvidia-docker or just covered the install portion of nvidia-container-toolkit. There was almost nothing available on how to create a custom image. After some digging around and copying and pasting (I still don't understand some of it), I was able to create a container with nvidia-smi, and other cuda commands working.
  • Tensorflow build error
    1 project | /r/tensorflow | 8 Feb 2021
    https://gitlab.com/nvidia/container-images/cuda/-/issues/109#note_503061879

What are some alternatives?

When comparing nvidia-container-runtime and container-images you can also consider the following projects:

nvidia-docker - Build and run Docker containers leveraging NVIDIA GPUs

zed-docker - Docker images for the ZED SDK

diagnostics - Packages related to gathering, viewing, and analyzing diagnostics data from robots.

zed-ros2-wrapper - ROS 2 wrapper for the ZED SDK

IntelligentEdgeHOL - The IntelligentEdgeHOL walks through the process of deploying an Azure IoT Edge module to an Nvidia Jetson Nano device to allow for detection of objects in YouTube videos, RTSP streams, or an attached web cam

docker-cuda-demo

container-engine-accelerators - Collection of tools and examples for managing Accelerated workloads in Kubernetes Engine

coreos-assembler - Tooling container to assemble CoreOS-like systems

jetson-containers - Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

HR-VITON - Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).

flatcar-forklift - SystemD service to deploy always up-to-date kernel modules for Flatcar Container Linux

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