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/reinforcement learning, natural language processing, knowledge graph, and feature extraction, and proficient in architecture design * Extensive experience in AI and ability to determine the value and development direction of AI technologies and the AI industry; experience in public
Supported AI Engines for Inference If you import a preset image from a template or OBS to create a model, you can select the AI engines and versions in the table below.
AI Innovative Application And Commercialization Acceleration Camp AI Innovative Application And Commercialization Acceleration Camp Romote AI application innovation and accelerate the commercialization process in global markets Romote AI application innovation and accelerate the commercialization
Figure 2 Abnormal path Parent topic: Deploying AI Applications as Real-Time Services
Supported AI Engines for ModelArts Inference If you import a model from a template or OBS to create an AI application, the following AI engines and versions are supported.
File from JupyterLab to a Local PC Using MindInsight Visualization Jobs in JupyterLab Using TensorBoard Visualization Jobs in JupyterLab Parent topic: Using Notebook for AI Development and Debugging
Most importantly, Serverless AI is compatible with mainstream AI frameworks, allowing developers to easily integrate their existing AI tools and models. Serverless AI is also a very significant development for cloud service providers.
The AI application is created. In the AI application list, you can view the created AI application and its version. When the status changes to Normal, the AI application is successfully created.
After it goes offline, you can use the templates for AI engine and model configurations by choosing OBS, setting AI Engine to Custom, and importing your custom AI engine.
Reshaping Industries with AI Reshaping Industries with AI 马上登录，观看直播 已有华为云账号，即刻登录 还未注册华为云，即刻注册 马上登录，观看回放 已有华为云账号，即刻登录 还未注册华为云，即刻注册 直播正在恢复，请稍后重试
Obtaining ModelArts AI Engines for Training Run the ma-cli ma-job get-engine command to obtain ModelArts AI engines for training. $ ma-cli ma-job get-engine -h Usage: ma-cli ma-job get-engine [OPTIONS] Get job engine info.
Cloud Native AI Cloud Native AI Suite Overview AI Workload Scheduling AI Task Management AI Data Acceleration AI Service Deployment
Huawei Cloud has more than 1,000 AI projects and we have always adhered to the "AI for Industries" strategy.
Service Deliverables Service Deliverables AI Platform Development Support Service - Basic AI Platform Development Support Professional Service Report AI Platform Development Support Service - Standard AI Platform Development Support Service-Professional AI Platform Development Support
The AI application is created. In the AI application list, you can view the created AI application and its version. When the status changes to Normal, the AI application is successfully created.
AI Application Description Provide AI application descriptions to help other AI application developers better understand and use your applications. Click Add AI Application Description and set the Document name and URL.
In-Cloud Notebook, Case Access in Seconds In-Cloud Notebook, Case Access in Seconds E2E AI development is managed in ModelArts Studio, boosting efficiency while maintaining records of the entire AI development process.
AI Application and Configuration AI Application Source Select My AI Applications or My Subscriptions based on your requirements. AI Application and Version Select the AI application and version that are in the Normal state.
Monitoring This page displays resource usage and AI application calls. Resource Usage: includes the used and available CPU, memory, GPU, and NPU resources. AI Application Calls: indicates the number of AI application calls.
Obtaining the Preset AI Frameworks Supported by a Training Job Function This API is used to obtain the preset AI frameworks supported by a training job.
