Ecosyste.ms: Docker
An open API service providing dependency metadata for docker images.
Package Usage : rpm : rhel/libnccl
Explore the latest package usage data for rhel/libnccl in the rpm ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 19
Total downloads: 73,977,836
More details on packages.ecosyste.ms - JSON
nvidia/cuda 12.3.1-devel-ubuntu22.04
CUDA and cuDNN images from gitlab.com/nvidia/cuda
- version: 2.17.1-1 cuda12.1
- arch: x86_64
- upstream: libnccl-2.17.1-1 cuda12.1.src.rpm
- distro: rhel-9.1
nvidia/cuda-ppc64le 11.4.0-runtime-ubi8
CUDA and cuDNN images from gitlab.com/nvidia/container-images/cuda
- version: 2.10.3-1 cuda11.4
- arch: ppc64le
- upstream: libnccl-2.10.3-1 cuda11.4.src.rpm
- distro: rhel-8.4
nvidia/cuda-arm64 11.4.0-devel-ubi8
CUDA and cuDNN images from gitlab.com/nvidia/container-images/cuda
- version: 2.10.3-1 cuda11.4
- arch: aarch64
- upstream: libnccl-2.10.3-1 cuda11.4.src.rpm
- distro: rhel-8.4
afcai2c/jlab-dl 20230120il5
Jupyter Lab with Deep Learning AI/ML packages installed [build upon jlab-eda]
- version: 2.12.12-1 cuda11.6
- arch: x86_64
- upstream: libnccl-2.12.12-1 cuda11.6.src.rpm
- distro: rhel-8.7
afcai2c/jlab-cv latest
Jupyter Lab with Computer Vision AI/ML packages installed [build upon jlab-dl]
- version: 2.15.5-1 cuda11.8
- arch: x86_64
- upstream: libnccl-2.15.5-1 cuda11.8.src.rpm
- distro: rhel-8.6
afcai2c/r-studio-dl latest
R Studio with Deep Learning AI/ML packages installed [builds upon jlab-eda]
- version: 2.10.3-1 cuda11.4
- arch: x86_64
- upstream: libnccl-2.10.3-1 cuda11.4.src.rpm
- distro: rhel-8.5
afcai2c/jlab-network latest
Jupyter Lab with Network AI/ML packages installed [build upon jlab-dl]
- version: 2.15.5-1 cuda11.8
- arch: x86_64
- upstream: libnccl-2.15.5-1 cuda11.8.src.rpm
- distro: rhel-8.6
afcai2c/tensorboard latest
- version: 2.10.3-1 cuda11.4
- arch: x86_64
- upstream: libnccl-2.10.3-1 cuda11.4.src.rpm
- distro: rhel-8.6
afcai2c/rstudio-dl 20230120il5
R Studio with deep learning libraries installed.
- version: 2.12.12-1 cuda11.6
- arch: x86_64
- upstream: libnccl-2.12.12-1 cuda11.6.src.rpm
- distro: rhel-8.7
justin0114/cuda11.3_cudnn8 v1
- version: 2.9.9-1 cuda11.3
- arch: x86_64
- upstream: libnccl-2.9.9-1 cuda11.3.src.rpm
- distro: rhel-8.5
extendwings/gpu-burn cc80
- version: 2.17.1-1 cuda12.1
- arch: x86_64
- upstream: libnccl-2.17.1-1 cuda12.1.src.rpm
- distro: rhel-8.7
afcai2c/vs-py-eda latest
- version: 2.15.5-1 cuda11.8
- arch: x86_64
- upstream: libnccl-2.15.5-1 cuda11.8.src.rpm
- distro: rhel-8.7
tpbvieira/ubi8 cuda-12.0.0-devel
- version: 2.17.1-1 cuda12.1
- arch: x86_64
- upstream: libnccl-2.17.1-1 cuda12.1.src.rpm
- distro: rhel-8.7
limwenyao/ultralytics 8.0.49
- version: 2.13.4-1 cuda11.7
- arch: x86_64
- upstream: libnccl-2.13.4-1 cuda11.7.src.rpm
- distro: rhel-8.7
frank4lif3/cudaready latest
ubuntu 22.04 cuda ready image
- version: 2.16.5-1 cuda12.0
- arch: x86_64
- upstream: libnccl-2.16.5-1 cuda12.0.src.rpm
- distro: rhel-8.7
konstantinjdobler/zegra-ubi8-test torch2.0.0-cuda11.8
- version: 2.15.5-1 cuda11.8
- arch: x86_64
- upstream: libnccl-2.15.5-1 cuda11.8.src.rpm
- distro: rhel-8.7
konstantinjdobler/zegra torch2.0.0-cuda11.8
- version: 2.15.5-1 cuda11.8
- arch: x86_64
- upstream: libnccl-2.15.5-1 cuda11.8.src.rpm
- distro: rhel-8.7
slin96/delab-torchvision torch2.0.1-cuda11.8-torchvision0.15.2-git
- version: 2.15.5-1 cuda11.8
- arch: x86_64
- upstream: libnccl-2.15.5-1 cuda11.8.src.rpm
- distro: rhel-8.8
oliverzim/nlp-benchmarks latest
- version: 2.15.5-1 cuda11.8
- arch: x86_64
- upstream: libnccl-2.15.5-1 cuda11.8.src.rpm
- distro: rhel-8.7