Application Scenarios

ModelArts provides flexible, open development environments. Select a development environment based on site requirements.

In-cloud notebook, which is out of the box, relieving you from concerning environment installation or configuration. For details, see Creating a Notebook Instance.
ModelArts Notebook supports the following methods to develop AI models based on engines such as PyTorch, TensorFlow, and MindSpore:
- Use JupyterLab to open a notebook instance. For details, see Using a Notebook Instance for AI Development Through JupyterLab.
- Local IDE for model development. After enabling remote SSH, you can remotely access the ModelArts notebook development environment to debug and run code from a local IDE. The local IDE allows you to use the in-cloud notebook development environment while with local coding habits unchanged.
  A local IDE supports Visual Studio (VS) Code, PyCharm, and SSH. Additionally, PyCharm Toolkit and VS Code Toolkit are provided for convenient remote access. For details, see Using Notebook Instances Remotely Through PyCharm, Using Notebook Instances Remotely Through VS Code, and Using a Notebook Instance Remotely with SSH.
Easy and fast file uploading is a common requirement in AI development. ModelArts allows you to upload files in multiple ways. You can view the upload progress and speed during the uploading.
When using a notebook instance, you can quickly obtain target instances and switch images in the same instance. You can flexibly adjust the specifications by adjusting the AI engine and switching node runtime specifications. For users who just start to use ModelArts notebook, choose a rather small storage at first. After the notebook instance is created, scale out EVS as needed and use dynamic mounting to simulate OBS objects as a local file system. You can also view events to locate faults when a notebook instance is faulty. For details, see Managing Notebook Instances.
ModelArts CLI (ma-cli) is integrated in the notebook instance to interconnect with ModelArts and run management commands on ModelArts resources. ma-cli allows you to interact with cloud services in ModelArts notebook instances and offline VMs. You can run ma-cli commands to implement automatic command completion, authentication, image building, ModelArts training job submission, DLI Spark job submission, and OBS data replication. For details, see ModelArts CLI Command Reference.
ModelArts Notebook has a built-in MoXing Framework module. ModelArts mox.file provides a set of APIs for accessing OBS more conveniently, allowing users to operate OBS files by simulating a series of APIs for operating the local file system. For details, see Using Moxing Commands in a Notebook Instance.