CUDA
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
Here are 137 public repositories matching this topic...
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
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Jan 11, 2025 - Dockerfile
Compilation of Dockerfiles with automated builds enabled on the Docker Registry
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Aug 2, 2019 - Dockerfile
Docker Image for Ubuntu Desktop which support HW GPU accelerated GUI apps. you can access the Container with ssh or remote desktop, just like Cloud VM.
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Oct 24, 2024 - Dockerfile
Docker image with Jupyter, Pytorch and CUDA GPUs supports.
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Dec 3, 2024 - Dockerfile
Fast, reproducible, and portable software development environments
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Dec 8, 2021 - Dockerfile
⚡Instant Stable Diffusion on k8s(Kubernetes) with Helm
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Jul 12, 2023 - Dockerfile
A docker build file for CMU openpose with Python API support
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Mar 10, 2022 - Dockerfile
Deep Learning Docker Image
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Sep 19, 2024 - Dockerfile
(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab Python docker images. Please submit Pull Requests to the GitLab repository. Mirror of
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Jan 17, 2025 - Dockerfile
(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) Data Science dev containers for R, Python, Julia and MAX/Mojo
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Jan 8, 2025 - Dockerfile
CUDA capable docker image of nheqminer (zcash/equihash miner)
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Jun 16, 2022 - Dockerfile
Dockerfile-s to build the images which power source{d}'s computing infrastructure.
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Sep 11, 2020 - Dockerfile
nvidia-docker in DinD (Docker inside Docker)
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Feb 21, 2019 - Dockerfile
(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab R docker images. Please submit Pull Requests to the GitLab repository. Mirror of
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Jan 17, 2025 - Dockerfile
Created by Nvidia
Released June 23, 2007
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