cuda11.0.3-cudnn8
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda11.0.3-cudnn8
python3.7
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda11.0.3-cudnn8-python3.7
python3.8
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda11.0.3-cudnn8-python3.8
cuda10.2-cudnn7
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda10.2-cudnn7
python3.7
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda10.2-cudnn7-python3.7
python3.8
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda10.2-cudnn7-python3.8
cuda10.1-cudnn7
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda10.1-cudnn7
python3.6
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda10.1-cudnn7-python3.6
python3.7
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda10.1-cudnn7-python3.7
python3.8
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda10.1-cudnn7-python3.8
cuda10.0-cudnn7
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda10.0-cudnn7
python3.6
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda10.0-cudnn7-python3.6
python3.7
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda10.0-cudnn7-python3.7
python3.8
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda10.0-cudnn7-python3.8
cuda9.1-cudnn7
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda9.1-cudnn7
python3.6
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda9.1-cudnn7-python3.6
python3.7
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda9.1-cudnn7-python3.7
python3.8
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda9.1-cudnn7-python3.8
cuda9.0-cudnn7
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda9.0-cudnn7
python3.6
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda9.0-cudnn7-python3.6
python3.7
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda9.0-cudnn7-python3.7
python3.8
- ccr.ccs.tencentyun.com/cube-studio/ubuntu-gpu:cuda9.0-cudnn7-python3.8
cuda10.1-cuda10.0-cuda9.0-cudnn7.6
- ccr.ccs.tencentyun.com/cube-studio/gpu:ubuntu18.04-python3.6-cuda10.1-cuda10.0-cuda9.0-cudnn7.6-base
python 310 +cuda 11.8 +torch2.1.1
m.daocloud.io/docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel

这个博客列举了多种CUDA和CUDNN版本的组合,每种组合都对应了不同版本的Python,主要针对的是Ubuntu GPU环境。这些配置适用于深度学习和GPU加速计算,覆盖了从CUDA 9.0到CUDA 11.0.3的多个版本,旨在为开发者提供灵活的选择来匹配他们的项目需求。
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