Architecture Overview: A Deep Dive Into ModelArts
Why Huawei Cloud ModelArts?
Stable and Secure Computing Base, Fast and Simple Model Training
Support the management of 10,000-node compute clusters. Large-scale distributed training accelerates foundation model development.
Zero-Code AutoML for Flexible, Simplified AI Application Development
ExeML automates model design, parameter tuning and training, and model compression and deployment based on labeled data. ExeML can be used to create image classification, object detection, and sound classification models, meeting the demands of various fields.
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. Local IDE and ModelArts plug-ins are provided for seamless on-premises and in-cloud AI development with customizable running environments.
Flexible Deployment for Various Scenarios
Supports multiple production environments, including cloud and edge. Supports multiple deployment types, including real-time inference, batch inference, and edge inference.
Widely Used AI Platform Facilitates Business Success
Widely Used AI Platform Facilitates Business Success
Foundation Model
Autonomous Driving
AIGC
Government
Finance
Mining
Railway
Healthcare