container-images

By nvidia

Container-images Alternatives

Similar projects and alternatives to container-images

  1. toolbox

    Tool for interactive command line environments on Linux (by containers)

  2. Nutrient

    Nutrient - The #1 PDF SDK Library. Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.

    Nutrient logo
  3. nvidia-docker

    Discontinued Build and run Docker containers leveraging NVIDIA GPUs

  4. diagnostics

    Packages related to gathering, viewing, and analyzing diagnostics data from robots. (by ros)

  5. jetson-containers

    Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

  6. zed-docker

    Docker images for the ZED SDK

  7. zed-ros2-wrapper

    ROS 2 wrapper for the ZED SDK

  8. 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 (by Azure)

  9. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

    CodeRabbit logo
  10. code-gpt-docs

    Docusaurus page

  11. container-engine-accelerators

    Collection of tools and examples for managing Accelerated workloads in Kubernetes Engine

  12. nvidia-container-runtime

    Discontinued NVIDIA container runtime

  13. python-ismrmrd-server

    Example client/server example for the streaming ISMRM Raw Data protocol

  14. coreos-assembler

    Tooling container to assemble CoreOS-like systems

  15. jetson-containers

    Machine Learning Containers for NVIDIA Jetson and JetPack-L4T (by codustry)

  16. StyleGAN-Human

    StyleGAN-Human: A Data-Centric Odyssey of Human Generation

  17. HR-VITON

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

  18. CIHP_PGN

    Code repository for Part Grouping Network, ECCV 2018

  19. flatcar-forklift

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

  20. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better container-images alternative or higher similarity.

container-images discussion

Log in or Post with

container-images reviews and mentions

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
  • A note from our sponsor - Nutrient
    nutrient.io | 16 Feb 2025
    Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free. Learn more →

Stats

Basic container-images repo stats
10
-
-
-

Sponsored
Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
nutrient.io