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Advantages

Updated on 2025-02-07 GMT+08:00

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

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