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How Can I Drain a GPU Node After Upgrading or Rolling Back the CCE AI Suite (NVIDIA GPU) Add-on?
Figure 7 Connecting to a notebook instance Parent topic: Using Notebook for AI Development and Debugging
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
Select an AI engine based on site requirements. Figure 6 Selecting an AI engine and creating a console After the file is created, the console page is displayed.
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.
What Can I Do If Certain Alarms Are Displayed in the GPU Node Events After the CCE AI Suite (NVIDIA GPU) Add-on Is Upgraded?
Type CCE AI Suite (Ascend NPU) 1.x.x CCE AI Suite (Ascend NPU) 2.0.0 to 2.1.6 CCE AI Suite (Ascend NPU) 2.1.7 to the Latest Version 310 series card Driver version < 23.0.rc0 You must manually mount the drivers and npu-smi to a service pod.
Creating Resources This best practice uses a VPC, an SFS Turbo HPC file system, an OBS bucket, and a ModelArts resource pool. To achieve optimal acceleration performance, you are advised to select the same region and AZ for the SFS Turbo HPC file system and ModelArts resource pool
Basic Configurations Configuring Network Passthrough Between ModelArts and SFS Turbo Configuring SFS Turbo and OBS Interworking Configuring Auto Data Export from SFS Turbo to OBS Configuring the SFS Turbo Data Eviction Policy Parent topic: Implementation Procedure
Training Uploading Data to OBS and Preloading the Data to SFS Turbo Creating a Training Job Parent topic: Implementation Procedure
Parent topic: Using FunctionGraph to Deploy Stable Diffusion for AI Drawing
Can I apply for a refund for the AI platform consulting and planning service during delivery? Refunds are not supported in delivery. Parent topic: About Service Delivery
Figure 7 Refreshing the bound domain name Parent topic: Using FunctionGraph to Deploy Stable Diffusion for AI Drawing
Parent topic: Using FunctionGraph to Deploy Stable Diffusion for AI Drawing
Configuring Inspection Rules Configuring Silence Rules Configuring Dialog Rules Configuring Speed Rules Configuring Interruption Rules Parent topic: Managing AI Inspections (Self-Developed)
Using ExeML for Predictive Analytics Preparing Predictive Analysis Data Creating a Predictive Analytics Project Training a Predictive Analysis Model Deploying a Predictive Analytics Service Parent topic: Using ExeML for Zero-Code AI Development
Using ExeML for Sound Classification Preparing Sound Classification Data Creating a Sound Classification Project Labeling Sound Classification Data Training a Sound Classification Model Deploying a Sound Classification Service Parent topic: Using ExeML for Zero-Code AI Development
Using ExeML for Text Classification Preparing Text Classification Data Creating a Text Classification Project Labeling Text Classification Data Training a Text Classification Model Deploying a Text Classification Service Parent topic: Using ExeML for Zero-Code AI Development
Using ExeML for Image Classification Preparing Image Classification Data Creating an Image Classification Project Labeling Image Classification Data Training an Image Classification Model Deploying an Image Classification Service Parent topic: Using ExeML for Zero-Code AI Development
