AI开发平台MODELARTS-ModelArts支持哪些AI框架?:开发环境Notebook

时间:2024-05-31 19:05:32

开发环境Notebook

开发环境的Notebook,根据不同的工作环境,对应支持的镜像和版本有所不同。

表3 Notebook支持的镜像

镜像名称

镜像描述

适配芯片

支持SSH远程开发访问

支持在线JupyterLab访问

pytorch1.8-cuda10.2-cudnn7-ubuntu18.04

CPU、GPU通用算法开发和训练基础镜像,预置AI引擎PyTorch1.8

CPU/GPU

mindspore1.7.0-cuda10.1-py3.7-ubuntu18.04

CPU and GPU general algorithm development and training, preconfigured with AI engine MindSpore1.7.0 and cuda 10.1

CPU/GPU

mindspore1.7.0-py3.7-ubuntu18.04

CPU general algorithm development and training, preconfigured with AI engine MindSpore1.7.0

CPU

pytorch1.10-cuda10.2-cudnn7-ubuntu18.04

CPU and GPU general algorithm development and training, preconfigured with AI engine PyTorch1.10 and cuda10.2

CPU/GPU

tensorflow2.1-cuda10.1-cudnn7-ubuntu18.04

CPU、GPU通用算法开发和训练基础镜像,预置AI引擎TensorFlow2.1

CPU/GPU

tensorflow1.13-cuda10.0-cudnn7-ubuntu18.04

GPU通用算法开发和训练基础镜像,预置AI引擎TensorFlow1.13.1

GPU

conda3-ubuntu18.04

Clean user customized base image only include conda

CPU

pytorch1.4-cuda10.1-cudnn7-ubuntu18.04

CPU、GPU通用算法开发和训练基础镜像,预置AI引擎PyTorch1.4

CPU/GPU

conda3-cuda10.2-cudnn7-ubuntu18.04

Clean user customized base image include cuda10.2, conda

CPU

tensorflow1.15-mindspore1.7.0-cann5.1.0-euler2.8-aarch64

Ascend+ARM算法开发和训练基础镜像,AI引擎预置TensorFlow和MindSpore

Ascend

modelbox1.3.0-tensorrt7.1.3-cuda10.2-cudnn8-euler2.9.6

AI应用开发基础镜像,预置AI应用编排引擎ModelBox、AI引擎TensorRT,仅支持SSH连接

GPU

modelbox1.3.0-libtorch1.9.1-cuda10.2-cudnn8-euler2.9.6

AI应用开发基础镜像,预置AI应用编排引擎ModelBox、AI引擎LibTorch,仅支持SSH连接

GPU

spark2.4.5-ubuntu18.04

CPU algorithm development and training, prebuilt PySpark 2.4.5 and is able to attach to preconfigured spark cluster including MRS and DLI.

CPU

mlstudio-pyspark2.3.2-ubuntu16.04

CPU算法开发和训练基础镜像,包含可以图形化机器学习算法开发和调测MLStudio工具,并预置PySpark2.3.2

CPU

mindspore_1.10.0-cann_6.0.1-py_3.7-euler_2.8.3

Ascend+ARM algorithm development and training. MindSpore is preset in the AI engine.

Ascend

mindspore_1.9.0-cann_6.0.0-py_3.7-euler_2.8.3

Ascend+ARM algorithm development and training. MindSpore is preset in the AI engine.

Ascend

mindspore1.7.0-cann5.1.0-py3.7-euler2.8.3

Ascend+ARM算法开发和训练基础镜像,AI引擎预置MindSpore

Ascend

tensorflow1.15-cann5.1.0-py3.7-euler2.8.3

Ascend+ARM算法开发和训练基础镜像,AI引擎预置TensorFlow

Ascend

mlstudio-pyspark2.4.5-ubuntu18.04

CPU算法开发和训练基础镜像,包含可以图形化机器学习算法开发和调测MLStudio工具,并预置PySpark2.4.5

CPU

mindspore1.2.0-cuda10.1-cudnn7-ubuntu18.04

GPU算法开发和训练基础镜像,预置AI引擎MindSpore-GPU

GPU

rlstudio1.0.0-ray1.3.0-cuda10.1-ubuntu18.04

CPU、GPU强化学习算法开发和训练基础镜像,预置AI引擎

CPU/GPU

mindquantum0.9.0-mindspore2.0.0-cuda11.6-ubuntu20.04

MindSpore2.0.0 and MindQuantum0.9.0

CPU

mindspore1.2.0-openmpi2.1.1-ubuntu18.04

CPU算法开发和训练基础镜像,预置AI引擎MindSpore-CPU

CPU

cylp0.91.4-cbcpy2.10-ortools9.0-cplex20.1.0-ubuntu18.04

CPU运筹优化求解器开发基础镜像,预置cylp,cbcpy,ortools及cplex

CPU

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