Cursusaanbod

Introduction to Huawei CloudMatrix

  • CloudMatrix ecosystem and deployment flow
  • Supported models, formats, and deployment modes
  • Typical use cases and supported chipsets

Preparing Models for Deployment

  • Model export from training tools (MindSpore, TensorFlow, PyTorch)
  • Using ATC (Ascend Tensor Compiler) for format conversion
  • Static vs dynamic shape models

Deploying to CloudMatrix

  • Service creation and model registration
  • Deploying inference services via UI or CLI
  • Routing, authentication, and access control

Serving Inference Requests

  • Batch vs real-time inference flows
  • Data preprocessing and postprocessing pipelines
  • Calling CloudMatrix services from external apps

Monitoring and Performance Tuning

  • Deployment logs and request tracking
  • Resource scaling and load balancing
  • Latency tuning and throughput optimization

Integration with Enterprise Tools

  • Connecting CloudMatrix with OBS and ModelArts
  • Using workflows and model versioning
  • CI/CD for model deployment and rollback

End-to-End Inference Pipeline

  • Deploying a complete image classification pipeline
  • Benchmarking and validating accuracy
  • Simulating failover and system alerts

Summary and Next Steps

Vereisten

  • An understanding of AI model training workflows
  • Experience with Python-based ML frameworks
  • Basic familiarity with cloud deployment concepts

Audience

  • AI ops teams
  • Machine learning engineers
  • Cloud deployment specialists working with Huawei infrastructure
 21 Uren

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