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Development Service - Standard AI Platform Scenario-specific Model Development Service - Professional AI Platform Scenario-specific Model Development - Platinum AI Platform Scenario-specific Model Deployment Service - Basic AI Platform Scenario-specific Model User Guide AI Platform
Adaptation Service - Standard AI Cloud Service Migration Guide AI Cloud Service Migration and Adaptation Service Test Report AI Cloud Service Migration and Adaptation Service - Professional AI Cloud Service AI Model Migration Service - per Model AI Cloud Service Application Migration
Using OBS+SFS Turbo for Storage Acceleration in AI Scenarios Solution Overview Resource Planning and Costs Process Implementation Procedure FAQs
AI Platform Scenario-specific Model Tuning Service Service Overview The AI Platform Development and Implementation Service targets customers across various industries with specific business scenarios, aiming to address these needs through AI technologies.
Using FunctionGraph to Deploy Stable Diffusion for AI Drawing Introduction Resource and Cost Planning Procedure Deploying and Using the Stable Diffusion Application (Optional) Binding a Custom Domain Name (Optional) Uploading a Custom Model (Advanced) Using ECS as an NFS Server to
Managing Lite Server AI Plug-ins Scenario NodeTaskHub is a plug-in that manages elastic nodes efficiently. It sends tasks and enables automated O&M for ModelArts Lite Server nodes.
How Do I View AI Product Costs? ModelArts is a one-stop AI development platform provided by Huawei Cloud for developers. This section uses DeepSeek as an example to describe how to view the cost data of ModelArts Studio. Log in to Cost Center.
AI Suite (Ascend NPU) Description The AI suite, Ascend NPU, is a device management plug-in that supports Huawei NPUs in containers.
AI Suite (NVIDIA GPU) Description The AI suite, NVIDIA GPU, is a device management plug-in that supports GPUs in containers. To use GPU nodes in a cluster, this plug-in must be installed.
You have synchronized the preceding personnel titles to the AI inspection engine (currently, a third-party AI inspection engine). By default, the AICC synchronizes information to the AI inspection engine every 10 minutes.
What is AI Platform Development and Implementation Service? The AI platform development and implementation service is mainly for customers who have actual industry scenario requirements and want to use AI technologies to meet these requirements.
AI Suite (Ascend NPU) Description The AI suite, Ascend NPU, is a device management plug-in that supports Huawei NPUs in containers.
Using OBS+SFS Turbo for Storage Acceleration in AI Scenarios Solution Overview Resource Planning and Costs Process Implementation Procedure FAQs
AI Suite (NVIDIA GPU) Description The AI suite, NVIDIA GPU, is a device management plug-in that supports GPUs in containers. To use GPU nodes in a cluster, this plug-in must be installed.
Managing AI Inspections (Self-Developed) Managing Sentences Managing Sensitive Words Configuring Inspection Rules Configuring Inspection Rating Rules Configuring Business Scenarios Viewing AI Inspection Results Configuring Sample Inspection Plans Creating Sample Inspection Tasks Performing
CCE AI Suite (NVIDIA GPU) Add-on Overview CCE AI Suite (NVIDIA GPU) is a device management add-on that supports GPUs in containers. To use GPU nodes in a cluster, this add-on must be installed.
CCE AI Suite (Ascend NPU) Add-on Overview CCE AI Suite (Ascend NPU) is a device management add-on that supports NPUs in containers. After this add-on is installed, you can create AI-accelerated nodes to quickly and efficiently process inference and image recognition.
CCE AI Suite (NVIDIA GPU) Check Items CCE AI Suite (NVIDIA GPU) is involved in the upgrade, which may affect the GPU driver installation during the creation of a GPU node. Solution The driver of CCE AI Suite (NVIDIA GPU) needs to be configured by yourself.
What is AI Platform Consulting and Planning Service? HUAWEI CLOUD provides ModelArts platform support services for the development and research of AI applications in various industries.
Accessing a Real-Time Service If a real-time service is in the Running status, the real-time service has been deployed successfully. This service provides a standard RESTful API for you to call. Before integrating the API to the production environment, commission the API. By default
