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Implementation Procedure Creating Resources Basic Configurations Training Routine O&M Parent topic: Using OBS+SFS Turbo for Storage Acceleration in AI Scenarios
Parent topic: Managing AI Inspections (Self-Developed)
What are the service advantages of AI platform consulting and planning services? Rich industry experience: The team has a lot of industry delivery experience and has the experience and capability of modeling complex service scenarios.
You can subscribe to them in AI Gallery. Parent topic: Using Workflows for Low-Code AI Development
Uploading Files from a Local Path to JupyterLab JupyterLab provides multiple methods for uploading files. Methods for Uploading a File For a file not exceeding 100 MB, directly upload it to the target notebook instance. Detailed information, such as the file size, upload progress,
Cloning GitHub Open-Source Repository Files to JupyterLab Files can be cloned from a GitHub open-source repository to JupyterLab. Use JupyterLab to open a running notebook instance. On JupyterLab, click from the top menu bar to upload ModelArts files. In the displayed dialog box,
Using ModelArts Studio (MaaS) DeepSeek API to Build AI Applications You can use MaaS DeepSeek APIs together with Cherry Studio and Cursor to build AI applications. Cherry Studio: Use Cherry Studio to call a DeepSeek model deployed on MaaS to build a personal AI assistant.
Parent topic: Managing AI Inspections (Self-Developed)
Implementation Procedure Creating Resources Basic Configurations Training Routine O&M Parent topic: Using OBS+SFS Turbo for Storage Acceleration in AI Scenarios
Managing a Workflow Searching for a Workflow Viewing the Running Records of a Workflow Managing a Workflow Retrying, Stopping, or Running a Workflow Phase Parent topic: Using Workflows for Low-Code AI Development
What are the final deliverables for developing and implementing services using the AI platform? For details, see the deliverables listed in the delivery guide. Parent topic: About Service Delivery
What are the final deliverables for using the AI platform development and implementation service? For details, see the deliverables listed in the delivery guide. Parent topic: About Service Delivery
When the storage read/write bandwidth no longer meets the AI training needs, for example, checkpoint saves and loads take a longer time or loading datasets slows down the training, you can expand the file system performance to reduce the data loading time.
Training Uploading Data to OBS and Preloading the Data to SFS Turbo Creating a Training Job Parent topic: Implementation Procedure
Parent topic: Managing AI Inspections (Self-Developed)
Updating a Notebook Instance Changing an Image ModelArts allows you to change images on a notebook instance to flexibly adjust its AI engine. Images can be changed for only stopped notebook instances.
Parent topic: Using FunctionGraph to Deploy Stable Diffusion for AI Drawing
Parent topic: Managing AI Inspections (Self-Developed)
After the loading is successful, you can view and select the new model for AI drawing. The loading may take a long time. Parent topic: Using FunctionGraph to Deploy Stable Diffusion for AI Drawing
Notebook Instance Starting, Stopping, or Deleting a Notebook Instance Saving a Notebook Instance Dynamically Expanding EVS Disk Capacity Dynamically Mounting an OBS Parallel File System Viewing Notebook Events Notebook Cache Directory Alarm Reporting Parent topic: Using Notebook for AI
