Help Center> ModelArts> Image Management> Using a Preset Image> Images Preset in Notebook> Custom Dedicated Image (x86)-powered Notebook Base Image
Updated on 2024-02-28 GMT+08:00

Custom Dedicated Image (x86)-powered Notebook Base Image

ModelArts provides the following notebook base images powered by custom images (x86): conda3-cuda10.2-cudnn7-ubuntu18.04 and conda3-ubuntu18.04. These images do not have AI engines or related software packages. The image size is only 2 GB to 5 GB. You can use these images as base images and install your desired engine and dependency packages, improving scalability. In addition, these images are preset with some configurations required for starting the development environment. You can use these images after installing required software packages, without the need for any adaptations.

Such images are the most basic ones and have no component installed. They are small enough to facilitate image customization. If you need to use the OBS SDK, use ModelArts SDK instead to copy files. For details, see Transferring Files.

Image conda3-cuda10.2-cudnn7-ubuntu18.04

Table 1 conda3-cuda10.2-cudnn7-ubuntu18.04 description

AI Engine

Whether to Use GPUs

(CUDA Version)

URL

Dependency

None

Yes

(cuda 10.2)

swr.{region_id}.myhuaweicloud.com/atelier/user_defined_base:cuda_10.2-ubuntu_18.04-x86_64-20221008154718-2b3e39c

PyPI package

Ubuntu package

ipykernel 6.7.0

ipython 7.34.0

jupyter-client 7.3.4

ma-cau 1.1.3

ma-cau-adapter 1.1.3

ma-cli 1.1.5

matplotlib 3.5.1

modelarts 1.4.11

moxing-framework 2.1.0.5d9c87c8

numpy 1.21.6

pandas 1.3.5

pillow 9.2.0

pip 20.3.3

psutil 5.9.1

PyYAML 6.0

scipy 1.7.3

tornado 6.2

automake

build-essential

ca-certificates

cmake

cpp

curl

g++

gcc

gfortran

grep

libcudnn7

libcudnn7-dev

nginx

python3

rpm

tar

unzip

vim

wget

zip

Image conda3-ubuntu18.04

Table 2 conda3-ubuntu18.04 description

AI Engine

Whether to Use GPUs

(CUDA Version)

URL

Dependency

None

No

swr.{region_id}.myhuaweicloud.com/atelier/user_defined_base:ubuntu_18.04-x86_64-20221008154718-2b3e39c

For example:

CN North-Beijing4

swr.cn-north-4.myhuaweicloud.com/atelier/user_defined_base:ubuntu_18.04-x86_64-20221008154718-2b3e39c

CN East-Shanghai1

swr.cn-east-3.myhuaweicloud.com/atelier/user_defined_base:ubuntu_18.04-x86_64-20221008154718-2b3e39c

CN South-Guangzhou

swr.cn-south-1.myhuaweicloud.com/atelier/user_defined_base:ubuntu_18.04-x86_64-20221008154718-2b3e39c

PyPI package

Ubuntu package

ipykernel 6.7.0

ipython 7.34.0

jupyter-client 7.3.4

ma-cau 1.1.3

ma-cau-adapter 1.1.3

ma-cli 1.1.5

matplotlib 3.5.1

modelarts 1.4.11

moxing-framework 2.1.0.5d9c87c8

numpy 1.21.6

pandas 1.3.5

pillow 9.2.0

pip 20.3.3

psutil 5.9.1

PyYAML 6.0

scipy 1.7.3

tornado 6.2

automake

build-essential

ca-certificates

cmake

cpp

curl

g++

gcc

gfortran

grep

nginx

python3

rpm

tar

unzip

vim

wget

zip