Advantages

ModelArts has the following advantages:

Stable and secure computing backbone, fast and simple model training

• 10,000-node compute clusters
• Large-scale distributed training for accelerated foundation model development

• Cost-effective proprietary compute
• Decades of software and hardware expertise in the optimization of AI applications
• Acceleration suites for training, inference, and data access

One-stop E2E development toolchain for a consistent development experience

• The out-of-the-box and full-lifecycle AI development platform provides one-stop data processing, and development, training, management, and deployment of models.
• Local IDE and ModelArts plug-ins are provided for seamless on-premises and in-cloud AI development and training. Distributed deployment and inference of foundation models is supported.
• E2E AI development is managed, boosting efficiency while maintaining records of the entire AI development process.

Flexible deployment for various scenarios

• Multiple production environments, including cloud and edge
• Multiple deployment types, including real-time inference, batch inference, and edge inference

AI engineering for AI lifecycle management

• MLOps, analytics on data, models, and training logs, as well as monitoring and diagnosis

Strong fault tolerance for fast fault recovery

• Awareness and detection across racks, nodes, accelerator cards, and tasks
• Recovery at the node, job, and container levels, ensuring uninterrupted 1,000-card training

Multiple resource deployment options

• Cluster mode: Kubernetes clusters come pre-configured and ready for immediate use.
• Node mode: By utilizing open-source or your own custom frameworks, you can create clusters that offer enhanced control and flexibility.

Migration without any reconstruction

• Standard Kubernetes APIs for resource utilization, ensuring smooth migration across clouds
• A consistent experience guaranteed by SSH access to nodes and containers