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Request Path URL used for calling the AI application API in a batch service, and also the request path of the AI application service. Its value is obtained from the url field of apis in the AI application configuration file.
Appealing Against AI Inspection Results Procedure Sign in to the CEC as an agent and choose Inspection > Call List. The brief search criteria and inspected call list are displayed. Click View in the Operation column to view the inspection details. Click Initiate Appeal.
Atlas 200 AI Accelerator Card Integrated with the HiSilicon Ascend 310 AI processor, the Atlas 200 allows data analysis, inference, and computing for various data such as images and videos.
Atlas 200 AI Accelerator Card Integrated with the HiSilicon Ascend 310 AI processor, the Atlas 200 allows data analysis, inference, and computing for various data such as images and videos.
The custom image for creating an AI application must meet Custom Image Specifications for Creating AI Applications.
AI Platform Consulting and Planning Services Statement of Work (SOW) FAQs Billing Parent topic: Consulting and Planning
AI Platform Development and Implementation Service Statement of Work (SOW) FAQs Billing Parent topic: Cloudification and Implementation
Name: Set the name of the AI assistant. Default value: AI Assistant. Logo: Set the logo for the AI assistant. Recommended formats: JPG, JPEG, PNG, GIF. Maximum image size: 50 MB. Hide Top: Whether to hide the top interface of the AI assistant.
Using Notebook for AI Development and Debugging Application Scenarios Creating a Notebook Instance Managing Notebook Instances Using a Notebook Instance for AI Development Through JupyterLab Using Notebook Instances Remotely Through PyCharm Using Notebook Instances Remotely Through
Using Workflows for Low-Code AI Development What Is Workflow? Managing a Workflow Workflow Development Command Reference
Using ExeML for Zero-Code AI Development Introduction to ExeML Using ExeML for Image Classification Using ExeML for Object Detection Using ExeML for Predictive Analytics Using ExeML for Sound Classification Using ExeML for Text Classification Tips
Accessing Real-Time Services Accessing a Real-Time Service Authentication Mode Access Mode Accessing a Real-Time Service Through WebSocket Server-Sent Events Parent topic: Deploying AI Applications as Real-Time Services
Free Assets AI Gallery provides AI assets that can be shared for free. Using free assets consumes hardware resources. Huawei Cloud ModelArts charges you for the hardware resources based on the actual usage.
Conformance Package for AI and Machine Learning The following table lists the rules and solutions included in this conformance package template.
Restrictions on the Size of an Image for Importing an AI Application ModelArts uses containers for deploying services. There are size limitations during container runtime.
Parent topic: Deploying AI Applications as Batch Services
Using a Custom Image to Create AI applications for Inference Deployment Custom Image Specifications for Creating AI Applications Creating a Custom Image and Using It to Create an AI Application
My Gallery View your information and the AI assets you have published and subscribed to in My Gallery. Table 1 My Gallery Option Description My Assets > Algorithms Displays your published algorithms and algorithms that have been subscribed to.
AI and machine learning inherently involve a large number of computing-intensive tasks. Kubernetes is a preferential tool for developers building AI platforms because of its excellent capabilities in resource management, application orchestration, and O&M monitoring.
Introduction to Model Package Specifications Creating an AI Application Import a trained model to ModelArts to create an AI application, facilitating AI application deployment and publishing.
