Accessing a Notebook Instance
Access a notebook instance in the Running state for coding.
The methods of accessing notebook instances vary depending on the AI engine based on which the instance was created.
PyTorch, TensorFlow, MindSpore, TensorFlow-MindSpore, CyLP-cbcpy, rlstudio-ray and MindQuantum-MindSpore images can be accessed in either of the following ways:
- Remote access: Use PyCharm, VS Code, or SSH in the local IDE. For details, see and Connecting to a Notebook Instance Through VS Code with One Click.
- Online access: Use JupyterLab. For details, see JupyterLab Overview and Common Operations.
mlstudio-pyspark images can only be accessed online using JupyterLab. For details, see JupyterLab Overview and Common Operations.
MindStudio images can only be accessed using local MobaXterm through SSH. For details, see Using MindStudio to Develop Ascend Operators.
ModelBox images can be remotely accessed only by using the local VS Code plug-in. For details, see Configuring Local VS Code to Remotely Access a ModelBox Image in DevEnviron.
Create an instance and mount the persistent storage to /home/ma-user/work.
The data stored in only the work directory is retained after the instance is stopped or restarted. When you use a development environment, store the data for persistence in /home/ma-user/work.
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