矩池云镜像

矩池云整理目前公开的系统镜像，如果您有更多需要的环境，可随时联系我们点击联系小助手。

如何使用

在主机市场租用机器的时候可以选择一个系统环境，目前矩池云内置了很多系统镜像，按类别可以分为：基础镜像、框架镜像 、算法镜像和应用镜像。

• 有直接对应的环境

比如我现在需要一个 Pytorch1.1.0 的环境，直接搜索，发现有对应环境，直接选中环境租用即可。

• 没有直接对应的环境

再比如，我需要一个 Tensorflow1.14 环境，结果搜索不到，这时候我可以选一个基础环境（只安装了对应版本Cuda环境）。

通过 Tensorflow官网我们可以知道 Tensorflow1.14 需要 Cuda10.0 环境。

我们搜索 Cuda10.0，选一个最基础的环境即可，租用后再通过 pip 安装需要的包。

下面给大家介绍下矩池云现在公开的镜像，包括镜像名称、镜像预装环境、镜像搜索关键词。

基础镜像

镜像名称：Keras 2.2 & Tensorflow 1.13.1 GPU版

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镜像预装环境：Python 3.5, CUDA 10.0, cuDNN 7.6, Tensorflow 1.13.1, Keras 2.2, Ubuntu 18.04 。仅支持 GPU 机器。
镜像搜索关键词：Ubuntu18.04, Python3.5, CUDA10.0, cuDNN7.6, Tensorflow1.13.1, Keras2.2

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镜像名称：CUDA 9.0

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镜像预装环境：Python 2.7, CUDA 9.0, cuDNN 7.6, Ubuntu 16.04, tmux,VNC
镜像搜索关键词：Ubuntu16.04, Python2.7, CUDA9.0, cuDNN7.6, tmux2.1, VNC3.8

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镜像名称：CUDA 10.1

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镜像预装环境：Python 3.7, CUDA 10.1, cuDNN 7.6, Ubuntu 18.04, tmux
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA10.1, cuDNN7.6, tmux2.6, base

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镜像名称：PyTorch 1.7.1

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镜像预装环境：Python 3.8, CUDA 11.0, cuDNN 8.0, Pytorch 1.7.1, NVCC, Ubuntu 18.04, VNC
镜像搜索关键词：Ubuntu18.04, Pytorch1.7.1, torchvision0.8.2, torchaudio0.7.2, python3.8, CUDA11.0, cuDNN8.0, tmux2.6, VNCRFB3.8, NVCC10.2

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镜像名称：Pytorch 1.8.1-Horovod

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镜像预装环境：Python3.7, CUDA 11.1, cuDNN 8.0.5, Pytorch 1.8.1, Horovod 0.22.1, Ubuntu 18.04, VNC, NVCC11.1, OpenMPI 4.0.0
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA11.1, cuDNN8.0.5, Pytorch1.8.1, VNCRFB3.8, NVCC11.1, Openmpi4.0.0, Horovod0.22.1

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镜像名称：DeepFaceLab3

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镜像预装环境：DeepFaceLab 3, Python3.7, Tensorflow2.4, Ubuntu18.04, CUDA 11.0, CUDNN 8.0, VNC。DeepFaceLab 文件夹位于根目录下。
镜像搜索关键词：Ubuntu18.04, Tensorflow2.4, Python3.7, CUDA11.0, cuDNN8.0, tmux2.6, DeepFaceLab3.0

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镜像名称：CUDA 10.1-Numba

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镜像预装环境：Python 3.7, CUDA 10.1, cuDNN 7.6, Ubuntu 18.04, tmux, Numba
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA10.1, cuDNN7.6, tmux2.6, Numba

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镜像名称：ubuntu18.04-docker

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镜像预装环境：ubuntu18.04
镜像搜索关键词：Ubuntu18.04, Python3.7.6, Tensorflow2.0.0, Pytorch1.3.1, ChypervEngine

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镜像名称：Tensorflow 2.5

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镜像预装环境：Tensorflow 2.5，Python 3.8，CUDA 11.2，cuDNN 8，VNC，Ubuntu 18.04
镜像搜索关键词：Ubuntu18.04, Tensorflow2.5, Python3.8, CUDA11.2, tf2.5, VNC

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镜像名称：FinRL

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镜像预装环境：Python 3.8, CUDA 11.3, cuDNN 8, NVCC, Pytorch 1.11.0, torchvision 0.12.0, torchaudio 0.11.0, FinRL, TA-Lib 0.4.24。FinRL is the first open-source project to explore the great potential of deep reinforcement learning in finance. We help practitioners pipeline a trading strategy using deep reinforcement learning (DRL).
镜像搜索关键词：Ubuntu18.04, Python3.8, CUDA11.3, , Pytorch1.11.0, , VNC, FinRL

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镜像名称：MMDetection 2.24.1

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镜像预装环境：Ubuntu 18.04, Python3.8, CUDA 11.3, cuDNN 8, NVCC11.3, Pytorch 1.10, mmdet 2.24.1, mmseg 0.24.1, mmcv-full 1.5.2, mmcls 0.23.0, mmtrack 0.13.0, VNC
镜像搜索关键词：Ubuntu18.04, Python3.8, CUDA11.3, cuDNN8, Pytorch1.10, VNCRFB3.8, NVCC11.3, MMDetection, mmdet, mmseg

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镜像名称：Tensorflow 2.8

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镜像预装环境：Ubuntu18.04, Python 3.9, CUDA 11.2, cuDNN 8, NVCC, Tensorflow 2.8.0, Docker, NVIDIA Container Toolkit
镜像搜索关键词：Ubuntu18.04, Python3.9.12, Tensorflow2.8.0, Pytorch1.3.1, ChypervEngine

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镜像名称：Detectron2

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镜像预装环境：Ubuntu 18.04, Python3.8, CUDA 11.3, cuDNN 8, Pytorch 1.10, Detectron2 v0.6, VNC, NVCC11.3
镜像搜索关键词：Ubuntu18.04, Python3.8, CUDA11.3, cuDNN8, Pytorch1.10, VNCRFB3.8, NVCC11.3, Detectron2, Detectron

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镜像名称：CUDA 11.1

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镜像预装环境：Ubuntu 20.04, Python 3.9, CUDA 11.1, cuDNN 8.0.5, NVCC, VNC
镜像搜索关键词：Ubuntu20.04, CUDA11.1, Python3.9, , cuDNN8.0.5, VNC, NVCC, base

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镜像名称：Windows CUDA 11.3

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镜像预装环境：Windows server 2019, Python 3.8, CUDA 11.3, cuDNN 8.2.0
镜像搜索关键词：Ubuntu18.04, QemuEngine, windows

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镜像名称：Windows Pytorch 1.12

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镜像预装环境：Windows server 2019, Python 3.8, Pytorch 1.12, CUDA 11.3, cuDNN 8.2.0
镜像搜索关键词：Ubuntu18.04, QemuEngine, windows

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镜像名称：Stable Diffusion web UI

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镜像预装环境：Ubuntu20.04, Python 3.9, Pytorch1.12.1, CUDA 11.3, cuDNN 8, NVCC, VNC
镜像搜索关键词：Ubuntu20.04, Python3.9, CUDA11.3, cuDNN8, NVCC, VNC, Pytorch1.12.1

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镜像名称：Pytorch 1.12.1

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镜像预装环境：Ubuntu20.04, Python 3.9, Pytorch1.12.1, CUDA 11.3, cuDNN 8, NVCC, VNC
镜像搜索关键词：Ubuntu20.04, Python3.9, CUDA11.3, cuDNN8, NVCC, VNC, Pytorch1.12.1

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镜像名称：Pytorch 1.5.0

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镜像预装环境：Ubuntu 18.04, Python 3.8, CUDA 10.2, cuDNN 7.6, Pytorch 1.5.0, NVCC, VNC
镜像搜索关键词：Ubuntu18.04, Python3.8, CUDA10.2, cuDNN7.6, Pytorch1.5.0, NVCC10.2, VNC

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镜像名称：Ubuntu 18.04

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镜像预装环境：Linux Kernel 5.10.0，Ubuntu 18.04。
镜像搜索关键词：Ubuntu18.04, QemuEngine, Linux

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镜像名称：Pytorch 1.4.0

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镜像预装环境：Ubuntu 18.04, Python 3.7, CUDA 10.1, cudNN 7, NVCC, Pytorch 1.4.0, VNC
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA10.1, cuDNN7, Pytorch1.4.0, Pytorch1.4, VNC, NVCC

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镜像名称：Pytorch 1.13.1

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镜像预装环境：Ubuntu20.04, Python 3.8, Pytorch 1.13.1, CUDA 11.6, cuDNN 8, NVCC, VNC
镜像搜索关键词：Ubuntu20.04, Python3.8, CUDA11.6, cuDNN8, NVCC, VNC, Pytorch1.13.1

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应用镜像

镜像名称：Tensorflow 1.4

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镜像预装环境：Python 2.7, CUDA 8.0, CUDNN 7.2, Tensorflow 1.4, Ubuntu 16.04
镜像搜索关键词：Ubuntu16.04, Python2.7, CUDA8.0, cuDNN7.2, Tensorflow1.4

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镜像名称：Keras 2.2 & TensorFlow 1.13 CPU版

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镜像预装环境：Python 3.5, CUDA 10.0, cudNN 7, Tensorflow 1.13.1, Keras 2.2.4, Ubuntu 18.04
镜像搜索关键词：Ubuntu18.04, Python3.5, CUDA10.0, cuDNN7, Tensorflow1.13.1, Keras2.2.4

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镜像名称：RAPIDS

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镜像预装环境：Python 3.7, CUDA 10.0, cuDNN 7.6.5, RAPIDS 0.14, Ubuntu 18.04
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA10.0, cuDNN7.6.5, RAPIDS0.14

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镜像名称：国内开源框架

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镜像预装环境：Python 3.7.5, CUDA 10.1, MindSpore 0.3.0, cudNN 7.6.5, Paddle 1.7.1, MegEngine 0.3.1, Jittor 1.0.0, Ubuntu 18.04
镜像搜索关键词：Ubuntu18.04, Python3.7.5, CUDA10.1, cuDNN7.6.5, MindSpore0.3.0, Paddle1.7.1, MegEngine0.3.1, Jittor1.0.0

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镜像名称：DeepFaceLab

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镜像预装环境：DeepFaceLab 2.0, Python 3.6, CUDA 10.0, cuDNN 7.6, VNC, Tensorflow 1.13。DeepFaceLab 文件夹位于 /root/Desktop 下
镜像搜索关键词：Ubuntu18.04, DeepFaceLab2.0, Python3.6, CUDA10.0, cuDNN7.6, tmux2.6, VNCRFB3.8, DeepFaceLab

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镜像名称：CUDA 11.2

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镜像预装环境：Python 3.7, CUDA 11.2, cuDNN 8.0.5, Ubuntu 18.04, VNC
镜像搜索关键词：Ubuntu18.04, CUDA11.2, Python3.7, cuDNN8.0.5, VNCRFB3.8., base

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镜像名称：CUDA 11.1

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镜像预装环境：Python 3.7, CUDA 11.1, cuDNN 8.0.5, Ubuntu 18.04, VNC, NVCC
镜像搜索关键词：Ubuntu18.04, CUDA11.1, Python3.7, , cuDNN8.0.5, VNCRFB3.8, NVCC11.1, base

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镜像名称：Tensorflow 2.4-Horovod

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镜像预装环境：Python 3.8, CUDA 11.0, cuDNN 8.0, Tensorflow 2.4, Keras2.3.1, NVCC, Ubuntu 18.04, OpenMPI 4.0.0, Horovod 0.22.1, VNC
镜像搜索关键词：Ubuntu18.04, Tensorflow2.4, python3.8, keras2.3.1, CUDA11.0, cuDNN8.0, tmux2.6, NVCC11.0, Openmpi4.0.0, Horovod0.22.1

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镜像名称：Tensorflow 2.6

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镜像预装环境：Python 3.8, CUDA 11.2, cuDNN 8.0, Tensorflow 2.6, Keras2.3.1, NVCC, Ubuntu 18.04, OpenMPI 4.0.0, Horovod 0.22.1, VNC
镜像搜索关键词：Ubuntu18.04, Tensorflow2.6, python3.8, keras2.3.1, CUDA11.2, cuDNN8.0, tmux2.6, NVCC11.2, Openmpi4.0.0, Horovod0.22.1

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镜像名称：PyTorch 1.9.1

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镜像预装环境：Python3.8, CUDA 11.1, cuDNN 8.0.5, Pytorch 1.9.1, Horovod 0.22.1, Ubuntu 18.04, VNC, NVCC11.1, OpenMPI 4.0.0
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA11.1, cuDNN8.0.5, Pytorch1.9.1, VNCRFB3.8, NVCC11.1, Openmpi4.0.0, Horovod0.22.1

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镜像名称：Pytorch 1.10

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镜像预装环境：Python3.8, CUDA 11.3, cuDNN 8, Pytorch 1.10, Ubuntu 18.04, VNC, NVCC11.3
镜像搜索关键词：Ubuntu18.04, Python3.8, CUDA11.3, cuDNN8, Pytorch1.10, VNCRFB3.8, NVCC11.3

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镜像名称：D2L

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镜像预装环境：Python 3.7，Tensorflow 2.3，PyTorch 1.8.1，MXNet 1.9，CUDA 10.1，cuDNN 7，NVCC，Ubuntu 18.04，VNC
镜像搜索关键词：Ubuntu18.04, Tensorflow2.3.1, python3.7, CUDA10.1, cuDNN7, NVCC10.1, VNC, D2L

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镜像名称：Pytorch 1.11

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镜像预装环境：Ubuntu18.04, Python 3.8, CUDA 11.3, cuDNN 8, NVCC, Pytorch 1.11.0, torchvision 0.12.0, torchaudio 0.11.0
镜像搜索关键词：Ubuntu18.04, Python3.8, CUDA11.3, , Pytorch1.11, torchvision0.12.0, torchaudio0.11.0, VNC

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镜像名称：OneFlow

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镜像预装环境：Python3.8, CUDA 11.2, cuDNN 8.0.5, OneFlow0.7.0, Ubuntu 20.04
镜像搜索关键词：Ubuntu20.04, Python3.8, OneFlow, CUDA11.2, cuDNN8.0.5

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镜像名称：Pytorch 1.11

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镜像预装环境：Ubuntu18.04, Python 3.9, CUDA 11.3, cuDNN 8, NVCC, Pytorch 1.11.0, torchvision 0.12.0, torchaudio 0.11.0, Docker, NVIDIA Container Toolkit
镜像搜索关键词：Ubuntu18.04, Python3.9.12, Tensorflow2.0.0, Pytorch1.11.0, ChypervEngine

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镜像名称：HuggingFace

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镜像预装环境：Python 3.8, CUDA 11.3, cuDNN 8, NVCC, Pytorch 1.11.0, torchvision 0.12.0, torchaudio 0.11.0, transformers 4.19.4, datasets 2.2.2
镜像搜索关键词：Ubuntu18.04, Python3.8, CUDA11.3, , Pytorch1.11.0, torchvision0.12.0, torchaudio0.11.0, VNC, transformers, datasets, HuggingFace

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镜像名称：Disco

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镜像预装环境：Python 3.8, CUDA 11.3, cuDNN 8, NVCC, Pytorch 1.11.0, torchvision 0.12.0, torchaudio 0.11.0, Disco
镜像搜索关键词：Ubuntu18.04, Python3.8, CUDA11.3, , Pytorch1.11.0, torchvision0.12.0, torchaudio0.11.0, VNC, Disco

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镜像名称：PaddlePaddle 2.2.2

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镜像预装环境：Ubuntu 18.04, Python 3.8, CUDA 10.1, NVCC, cuDNN 7.6.5, PaddlePaddle 2.2.2
镜像搜索关键词：Ubuntu18.04, Python3.8, , CUDA10.1, cuDNN7.6, NVCC10.1, VNC, PaddlePaddle, Paddle

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镜像名称：Stable Diffusion v1.2

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镜像预装环境：Ubuntu18.04, Python 3.8, CUDA 11.3, cuDNN 8, NVCC, Pytorch 1.11.0, torchvision 0.12.0, torchaudio 0.11.0
镜像搜索关键词：Ubuntu18.04, Python3.8, CUDA11.3, , Pytorch1.11.0, torchvision0.12.0, torchaudio0.11.0, VNC, Stable/, Diffusion

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镜像名称：Blender 3.3

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镜像预装环境：Ubuntu20.04, Blender 3.3.0, Python 3.9, CUDA 11.3, cuDNN 8, NVCC, VNC。使用GPU渲染需要在 Blender 软件 编辑-偏好设置-系统 中选择 CUDA。
镜像搜索关键词：Ubuntu20.04, Python3.9, CUDA11.3, cuDNN8, NVCC, VNC, Blender

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镜像名称：Tensorflow 1.15

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镜像预装环境：Ubuntu20.04, Python 3.8, CUDA 11.3, cuDNN 8, NVCC, VNC, nvidia-tensorflow 1.15.5+nv22.8
镜像搜索关键词：Ubuntu20.04, Python3.8, CUDA11.3, cuDNN8, NVCC, VNC, Tensorflow1.15

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镜像名称：Pytorch 1.12.1

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镜像预装环境：Ubuntu20.04, Python 3.8, Pytorch1.12.1, CUDA 11.6, cuDNN 8, NVCC, VNC
镜像搜索关键词：Ubuntu20.04, Python3.8, CUDA11.6, cuDNN8, NVCC, VNC, Pytorch1.12.1

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镜像名称：Windows Tensorflow 2.8

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镜像预装环境：Windows server 2019, Python 3.8, Tensorflow 2.8, CUDA 11.2, cuDNN 8.1.1
镜像搜索关键词：Ubuntu18.04, QemuEngine, windows, CUDA11.2, Tensorflow2.8

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框架镜像

镜像名称：Keras 2.3.1 & TensorFlow 2.1.0

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镜像预装环境：Python3.7, CUDA10.1, cuDNN 7.6.5, TensorFlow 2.1.0, Keras 2.3.1, Ubuntu 18.04
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA10.1, cuDNN7.6.5, Tensorflow2.1.0, Keras2.3.1

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镜像名称：python3.5_多框架

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镜像预装环境：预装
镜像搜索关键词：Ubuntu18.04, Python3.5.6, CUDA10.0, cuDNN7.6.5, Tensorflow1.10.0, Keras2.1.6, Pytorch1.3.1, Caffe1.0.0, Chainer7.0.0, Mxnet1.5.1.post0

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镜像名称：Julia 1.3_多框架

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镜像预装环境：预装
镜像搜索关键词：Ubuntu18.04, Python3.6, CUDA10.0, cuDNN7.6.4, Cupy.cuda1007.0.0, Tensorflow.gpu1.12.0, Keras2.2.4, Caffe.gpu1.0.0, Chainer7.0.0, Mxnet1.5.1.post0, Julia1.3, Tensorflow1.12.0

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镜像名称：Pytorch 1.0

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镜像预装环境：Python 2.7, CUDA 9.0, cuDNN 7.6, Pytorch 1.0, Ubuntu 16.04
镜像搜索关键词：Ubuntu16.04, Python2.7, CUDA9.0, cuDNN7.6, Pytorch1.0

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镜像名称：Pytorch 1.6.0

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镜像预装环境：Python 3.7, CUDA 10.2, cuDNN 7.6, Pytorch 1.6.0, Ubuntu 18.04，VNC
镜像搜索关键词：Ubuntu18.04, CUDA10.2, cuDNN7.6.5, PyTorch1.6.0, fastai2.0, tmux2.6, Python3.7, VNCRFB3.8

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镜像名称：Tensorflow 2.4

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镜像预装环境：Python 3.8, CUDA 11.0, cuDNN 8.0, Tensorflow 2.4, Keras2.3.1, NVCC, Ubuntu 18.04
镜像搜索关键词：Ubuntu18.04, Tensorflow2.4, python3.8, keras2.3.1, CUDA11.0, cuDNN8.0, tmux2.6, NVCC10.2

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镜像名称：Python3.6 & R3.6

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镜像预装环境：预装
镜像搜索关键词：Ubuntu18.04, python3.6, r3.6, CUDA10.0

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镜像名称：PyTorch 1.8.1

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镜像预装环境：Python3.7, CUDA 11.1, cuDNN 8.0.5, Pytorch 1.8.1, Ubuntu 18.04, VNC, NVCC
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA11.1, cuDNN8.0.5, Pytorch1.8.1, VNCRFB3.8, NVCC11.1

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镜像名称：CUDA 11.2-Numba

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镜像预装环境：Python 3.7, CUDA 11.2, cuDNN 8.0.5, Ubuntu 18.04, VNC, Numba
镜像搜索关键词：Ubuntu18.04, CUDA11.2, Python3.7, cuDNN8.0.5, VNCRFB3.8, Numba

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镜像名称：CUDA 11.1-Numba

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镜像预装环境：Python 3.7, CUDA 11.1, cuDNN 8.0.5, Ubuntu 18.04, VNC, NVCC, Numba
镜像搜索关键词：Ubuntu18.04, CUDA11.1, Python3.7, , cuDNN8.0.5, VNCRFB3.8, NVCC10.2, Numba

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镜像名称：Tensorflow 2.8

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镜像预装环境：Ubuntu18.04, Python 3.9, CUDA 11.2, cuDNN 8, NVCC, Tensorflow 2.8.0, VNC
镜像搜索关键词：Ubuntu18.04, Tensorflow2.8, Python3.9, CUDA11.2, cuDNN8, VNC

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镜像名称：YOLOv5

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镜像预装环境：Python3.8, CUDA 11.3, cuDNN 8, Pytorch 1.10, Ubuntu 18.04, VNC, NVCC11.3, YOLOv5 v6.1
镜像搜索关键词：Ubuntu18.04, YOLOv5, Python3.8, CUDA11.3, cuDNN8, Pytorch1.10, VNC

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镜像名称：Pytorch 1.12

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镜像预装环境：Ubuntu18.04, Python 3.9, CUDA 11.3, cuDNN 8, NVCC, Pytorch 1.12.0, torchvision 0.13.0, torchaudio 0.12.0
镜像搜索关键词：Ubuntu18.04, Python3.9, CUDA11.3, , Pytorch1.12.0, torchvision0.13.0, torchaudio0.12.0, VNC

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镜像名称：JAX

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镜像预装环境：Ubuntu20.04, Python 3.9, CUDA 11.1, cuDNN 8, NVCC, JAX 0.3.17, VNC
镜像搜索关键词：Ubuntu20.04, Python3.9, CUDA11.1, cuDNN8, JAX, NVCC, VNC

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镜像名称：MMDetection 2.25.1

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镜像预装环境：Ubuntu 18.04, Python3.8, CUDA 11.3, cuDNN 8, NVCC11.3, Pytorch 1.11.0, mmdet 2.25.1, mmseg 0.27.0, mmcv-full 1.5.0, VNC
镜像搜索关键词：Ubuntu18.04, Python3.8, CUDA11.3, cuDNN8, Pytorch1.11, VNC, NVCC11.3, MMDetection, mmdet, mmseg

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镜像名称：CUDA 11.3

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镜像预装环境：Ubuntu20.04, Python 3.9, CUDA 11.3, cuDNN 8, NVCC, VNC
镜像搜索关键词：Ubuntu20.04, Python3.9, CUDA11.3, cuDNN8, NVCC, VNC, base

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镜像名称：windows server 2019

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镜像预装环境：windows server 2019
镜像搜索关键词：Ubuntu18.04, QemuEngine, windows

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镜像名称：视频渲染 FFMPEG 3.4

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镜像预装环境：Ubuntu18.04, Python3.8, FFMPEG 3.4, CUDA 10.2, VNC。推荐在 Quadro 系列机器使用。
镜像搜索关键词：Ubuntu18.04, CUDA10.2, FFMPEG3.4, Python3.8

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镜像名称：视频渲染 FFMPEG 4.3

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镜像预装环境：Ubuntu18.04, Python3.8, FFMPEG 4.3, CUDA 10.2, VNC。推荐在 Quadro 系列机器使用。
镜像搜索关键词：Ubuntu18.04, CUDA10.2, FFMPEG4.3, Python3.8

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镜像名称：Windows Pytorch 1.10

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镜像预装环境：Windows server 2019, Python 3.8, Pytorch 1.10, CUDA 11.3, cuDNN 8.2.0
镜像搜索关键词：Ubuntu18.04, QemuEngine, windows

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镜像名称：Pytorch 1.5.0

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镜像预装环境：Ubuntu 18.04, Python3.8, CUDA 10.1, cuDNN 7.6, Pytorch 1.5.0, NVCC, VNC
镜像搜索关键词：Ubuntu18.04, Python3.8, CUDA10.1, cuDNN7.6.5, Pytorch1.5.0, NVCC, VNC

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镜像名称：Windows CUDA 11.2

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镜像预装环境：Windows server 2019, Python 3.8, CUDA 11.2, cuDNN 8.1.1
镜像搜索关键词：Ubuntu18.04, QemuEngine, windows, CUDA11.2

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算法镜像

镜像名称：Pytorch 0.4.1

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镜像预装环境：Python 3.6, CUDA 9.0, cuDNN 7.6.4, Pytorch 0.4.1, NVCC, Ubuntu 16.04
镜像搜索关键词：Ubuntu16.04, Python3.6, CUDA9.0, cuDNN7.6.4, Pytorch0.4.1, NVCC9.0

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镜像名称：Tensorflow 2.2

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镜像预装环境：Python 3.7, CUDA 10.1, cuDNN 7.6.5, Tensorflow 2.2.0, NVCC, Ubuntu 18.04
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA10.1, cuDNN7.6.5, Tensorflow2.2.0, NVCC10.1

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镜像名称：Mxnet

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镜像预装环境：Python 3.7, CUDA 10.0, cuDNN 7.6, Mxnet 1.5.1, Ubuntu 18.04
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA10.0, cuDNN7.6.4, Mxnet1.5.1

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镜像名称：CUDA 10.0

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镜像预装环境：Python 3.6, CUDA 10.0, cuDNN 7.6, Ubuntu 18.04, tmux, VNC, NVCC
镜像搜索关键词：Ubuntu18.04, Python3.6, CUDA10.0, cuDNN7.6, tmux2.6, VNCRFB3.8, NVCC10.2

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镜像名称：Tensorflow 2.7-Horovod

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镜像预装环境：Python 3.8, CUDA 11.2, cuDNN 8, Tensorflow 2.7, Keras2.7, NVCC, Ubuntu 18.04, OpenMPI 4.0.0, Horovod 0.23.0, VNC
镜像搜索关键词：Ubuntu18.04, Tensorflow2.7, Python3.8, CUDA11.2, cuDNN8, tmux2.6, NVCC11, Openmpi4.0.0, Horovod0.23

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镜像名称：Tensorflow 2.0

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镜像预装环境：Python 3.7, CUDA 10.0, cuDNN 7.6.5, Tensorflow 2.0, Keras 2.3.1, NVCC 10.0, Ubuntu 18.04, VNC
镜像搜索关键词：Ubuntu18.04, Tensorflow2.0, Python3.7, Keras2.3.1, CUDA10.0, cuDNN7.6.5, tmux2.6, NVCC10.0, VNC

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镜像名称：Jina3.2.0

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镜像预装环境：Python3.7, CUDA 11.1, cuDNN 8.0.5, Pytorch 1.9.1, Horovod 0.22.1, Ubuntu 18.04, VNC, NVCC11.1, OpenMPI 4.0.0，Jina3.2.0
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA11.1, cuDNN8.0.5, NVCC11.1, Pytorch1.9.1, JinaAI, Openmpi4.0.0, VNC

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镜像名称：Jina3.3.6

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镜像预装环境：Python3.7, CUDA 11.1, cuDNN 8.0.5, Pytorch 1.9.1, Horovod 0.22.1, Ubuntu 18.04, VNC, NVCC11.1, OpenMPI 4.0.0，Jina3.3.6
镜像搜索关键词：Ubuntu18.04, Python3.7, CUDA11.1, cuDNN8.0.5, NVCC11.1, Pytorch1.9.1, JinaAI, Openmpi4.0.0, VNC

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镜像名称：AlphaFold

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镜像预装环境：Ubuntu18.04, AlphaFold, Python 3.9, CUDA 11.3, cuDNN 8, NVCC, Pytorch 1.11.0, torchvision 0.12.0, torchaudio 0.11.0, Docker, NVIDIA Container Toolkit
镜像搜索关键词：Ubuntu18.04, Python3.9.12, Tensorflow2.0.0, Pytorch1.11.0, ChypervEngine, AlphaFold

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镜像名称：NLTK

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镜像预装环境：Ubuntu 18.04, Python 3.9, CUDA 11.3, NLTK 3.7(包含 NLTK Data)。
镜像搜索关键词：Ubuntu18.04, Python3.9, CUDA11.3, cuDNN8.2.0, VNC, NLTK

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镜像名称：Stable Diffusion web UI v1.4

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镜像预装环境：Ubuntu20.04, Python 3.9, Pytorch1.12.1, CUDA 11.3, cuDNN 8, NVCC, VNC, Stable Diffusion web UI（开机自启，可直接访问7860端口链接，默认模型文件路径：/stable-diffusion-webui/models）
镜像搜索关键词：Ubuntu20.04, Python3.9, CUDA11.3, cuDNN8, NVCC, VNC, Pytorch1.12.1, Stable/, Diffusion, webui

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镜像名称：CUDA 11.6

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镜像预装环境：Ubuntu20.04, Python 3.8, CUDA 11.6, cuDNN 8, NVCC, VNC
镜像搜索关键词：Ubuntu20.04, Python3.8, CUDA11.6, cuDNN8, NVCC, VNC

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镜像名称：R 4.2

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镜像预装环境：Ubuntu20.04, R4.2.1, RStudio, Python 3.9, CUDA 11.3, cuDNN 8, NVCC, VNC
镜像搜索关键词：Ubuntu20.04, Python3.9, CUDA11.3, cuDNN8, NVCC, VNC, R4.2, R, RStudio

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镜像名称：Stable Diffusion web UI v1.5

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镜像预装环境：Ubuntu20.04, Python 3.8, Pytorch 1.13.1, CUDA 11.6, cuDNN 8, NVCC, VNC, stable-diffusion-v1.5, Stable Diffusion web UI（开机自启，预装了ControlNet插件，可直接访问7860端口链接，默认模型文件路径：/stable-diffusion-webui/models）
镜像搜索关键词：Ubuntu20.04, Python3.8, CUDA11.6, cuDNN8, NVCC, VNC, Pytorch1.13.1, Stable/, Diffusion, webui

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镜像名称：Tensorflow 2.0

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镜像预装环境：Python 3.7, CUDA 10.0, cuDNN 7.6.5, Tensorflow 2.0, Keras 2.3.1, NVCC 10.0, Ubuntu 18.04, VNC
镜像搜索关键词：Ubuntu18.04, Tensorflow2.0, Python3.7, Keras2.3.1, CUDA10.0, cuDNN7.6.5, tmux2.6, NVCC10.0, VNC

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