Package Usage : deb : ubuntu/libnccl-dev
Explore the latest package usage data for ubuntu/libnccl-dev in the deb ecosystem, including detailed information on package dependencies and their usage.
  Total dependents: 2,101
  Total downloads: 108,629,987
More details on packages.ecosyste.ms - JSON
nvidia/cuda 13.0.1-cudnn-devel-ubuntu24.04
CUDA and cuDNN images from gitlab.com/nvidia/cuda
- version: 2.19.3-1 cuda12.3, 2.28.3-1+cuda13.0
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-22.04
 
tensorflow/build 2.20-python3.9
Containers for building TensorFlow, provided by TensorFlow SIG Build.
- version: 2.18.5-1 cuda12.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
anyscale/ray-ml 2.38.0
- version: 2.12.7-1 cuda11.6, 2.16.2-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
pytorchlightning/pytorch_lightning 2.5.2-py3.12-torch2.7-cuda12.6.3
PyTorch Lightning image
- version: 2.16.2-1 cuda11.8, 2.17.1-1 cuda12.1, 2.13.4-1 cuda11.7
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
nvidia/cudagl 11.4.2-base-ubuntu18.04
CUDA + OpenGL images from gitlab.com/nvidia/cudagl
- version: 2.9.6-1 cuda11.3
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
google/deepvariant 1.9.0
- version: 2.9.6-1 cuda11.3
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
ufoym/deepo all-jupyter
A series of Docker images that allows you to quickly set up your deep learning research environment.
- version: 2.9.9-1 cuda11.3
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
tensorflow/tfx 1.16.0
- version: 2.9.9-1 cuda11.3, 2.15.5-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
mxnetci/build.ubuntu_gpu_cu101 latest
- version: 2.7.8-1 cuda10.1
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
pytorch/libtorch-cxx11-builder rocm6.1-a1ba8e61d1b93f2116c5cccf1ce4b74a3fdaead4
- version: 2.15.5-1 cuda10.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
kasmweb/core-cuda-bionic 1.10.0
CUDA toolkit base image for Kasm Workspaces
- version: 2.9.6-1 cuda11.3
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
milvusdb/milvus-env amazonlinux2023-20241029-8370caa
milvus builder
- version: 2.16.2-1 cuda11.8, 2.12.10-1 cuda11.6
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
mesosphere/jupyter-service ba2d17d6683b846c35f72e2662c5930c1a4514f2a1de9a4ce2feb9fbc801c122-base-gpu-cuda-10.2
Jupiter service GA
- version: 2.7.8-1 cuda10.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
kerberos/hub-ml nvidia-1.0.1189479675
- version: 2.11.4-1 cuda11.4
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
huggingface/transformers-pytorch-gpu 4.41.3
Hugging Face Transformers repository with CPU & GPU PyTorch backend
- version: 2.13.4-1 cuda11.7, 2.16.2-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
mxnetci/build.ubuntu_build_cuda latest
- version: 2.7.8-1 cuda10.1
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
mxnetci/build.ubuntu_gpu latest
- version: 2.4.2-1 cuda10.0
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
broadinstitute/terra-jupyter-aou 2.1.13
- version: 2.9.9-1 cuda11.3
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
rocker/ml 4.4.1
Docker images with R + GPU support for machine learning libraries
- version: 2.15.5-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-22.04
 
mxnetci/build.ubuntu_gpu_cu100 latest
- version: 2.5.6-1 cuda10.0
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
mxnetci/build.ubuntu_gpu_tensorrt latest
- version: 2.4.8-1 cuda10.0
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
mxnetci/build.jetson latest
- version: 2.11.4-1 cuda10.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
rocker/ml-verse 4.4.1
- version: 2.15.5-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-22.04
 
mxnetci/build.ubuntu_nightly_gpu latest
- version: 2.4.8-1 cuda10.1
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
uber/horovod 0.15.2-tf1.12.0-torch1.0.0-py3.5
This repository is deprecated. To find Horovod, use horovod/horovod.
- version: 2.3.5-2 cuda9.0
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
rocker/cuda 4.4.1
NVIDIA CUDA libraries added to Rocker images
- version: 2.15.5-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-22.04
 
mxnetci/publish.ubuntu1404_gpu latest
- version: 2.4.8-1 cuda10.1
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-14.04
 
mirekphd/ml-gpu-py38-cuda101-cust latest
- version: 2.4.8-1 cuda10.1
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
huggingface/transformers-tensorflow-gpu 4.41.3
- version: 2.8.4-1 cuda11.2, 2.16.2-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
ikzk/bagua-ci latest
- version: 2.7.8-1 cuda11.1
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
mirekphd/ml-gpu-py38-cuda112-cust 20230623
- version: 2.16.2-1 cuda12.0, 2.17.1-1 cuda12.1, 2.18.3-1 cuda12.1
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
mirekphd/cuda-10.1-devel-ubuntu18.04 latest
- version: 2.4.8-1 cuda10.1
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
mxnetci/build.ubuntu_gpu_cu92 latest
- version: 2.4.8-1 cuda9.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
xfdywy/work py37pt1110mj200gpurl_sing
- version: 2.15.5-1 cuda11.8, 2.10.3-1 cuda11.4
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
mxnetci/build.ubuntu_base_gpu latest
- version: 2.4.8-1 cuda10.1
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
huggingface/transformers-all-latest-gpu latest
- version: 2.16.2-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
mxnetci/build.ubuntu_gpu_cu102 latest
- version: 2.7.8-1 cuda10.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
xfdywy/gcr py36pt101all-philly
- version: 2.4.2-1 cuda10.1
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
mxnetci/build.ubuntu_gpu_cu90 latest
- version: 2.4.8-1 cuda9.0
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
kaixhin/cuda-caffe 8.0
Ubuntu Core 14.04 + CUDA + Caffe.
- version: 1.2.3-1 cuda8.0
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
jcoffi/cluster-anywhere cu124
This is a work in progress and it doesn't work yet. It is based on Ray.io, mesh VPN, and CrateDB.
- version: 2.12.7-1 cuda11.6, 2.16.2-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
mxnetci/publish.ubuntu1604_gpu latest
- version: 2.4.8-1 cuda9.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
mxnetci/publish.test.ubuntu1804_gpu latest
- version: 2.4.2-1 cuda9.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
mxnetci/publish.test.ubuntu1604_gpu latest
- version: 2.4.8-1 cuda9.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
janakiramm/cats-vs-dogs latest
- version: 2.8.4-1 cuda11.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
rapidsai/citestwheel cuda12.9.1-rockylinux8-py3.11
- version: 2.16.2-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
vtpl/suva-cuda v1.11.0
- version: 2.11.4-1 cuda11.6, 2.11.4-1+cuda11.6
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
ikzk/nozomi-rust cuda-10.2
- version: 2.7.8-1 cuda10.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
huggingface/accelerate-gpu 0.28.0
- version: 2.8.4-1 cuda11.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
huggingface/transformers-gpu 4.18.0
- version: 2.11.4-1 cuda10.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-18.04
 
huggingface/transformers-pytorch-deepspeed-latest-gpu latest
- version: 2.19.3-1 cuda12.3
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-22.04
 
projectmonai/monailabel 0.8.0
- version: 2.17.1-1 cuda12.1, 2.18.3-1 cuda12.2, 2.15.5-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
pytorch/conda-cuda-cxx11-ubuntu1604 latest
- version: 2.4.8-1 cuda9.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
kaixhin/cuda-digits 8.0
Ubuntu Core 14.04 + CUDA + Pycaffe + DIGITS.
- version: 1.2.3-1 cuda8.0
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
987846/paddleocr v2.7.1
百度PaddleOCR服务调用,端口8866。国产ARM架构,OCR-V4,镜像1.57G。
- version: 2.4.8-1 cuda9.0
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
mirekphd/ml-gpu-h2o-ex105 20230724
- version: 2.15.5-1 cuda11.8, 2.18.3-1 cuda12.2
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
mirekphd/ml-gpu-py36-cuda90 20191013
- version: 2.4.2-1 cuda9.0
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
mirekphd/cuda-11.2-devel-ubuntu20.04 20230724
- version: 2.18.3-1 cuda12.2, 2.15.5-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
huggingface/transformers-all-latest-gpu-push-ci latest
- version: 2.16.2-1 cuda11.8
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04
 
kaixhin/cuda-caffe-deps 8.0
`kaixhin/cuda-caffe` dependencies.
- version: 1.2.3-1 cuda8.0
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
caffe2/caffe2-base conda2-cuda9.0-cudnn7-full-ubuntu16.04
- version: 2.1.4-1 cuda9.1
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-16.04
 
kasmweb/core-cuda-focal 1.16.1
CUDA toolkit base image for Kasm Workspaces
- version: 2.12.10-1 cuda11.6
 - arch: amd64
 - upstream: nccl
 - distro: ubuntu-20.04