Obrigado por enviar sua consulta! Um dos membros da nossa equipe entrará em contato com você em breve.
Obrigado por enviar sua reserva! Um dos membros da nossa equipe entrará em contato com você em breve.
Programa do Curso
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
Requisitos
- 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 Horas
