Cursusaanbod

Introduction to Huawei Ascend Platform

  • Overview of Ascend architecture and ecosystem
  • MindSpore and CANN overview
  • Use cases and industry relevance

Setting Up the Development Environment

  • Installing the CANN toolkit and MindSpore
  • Using ModelArts and CloudMatrix for project orchestration
  • Testing the environment with sample models

Model Development with MindSpore

  • Model definition and training in MindSpore
  • Data pipelines and dataset formatting
  • Exporting models to Ascend-compatible format

Performance Optimization on Ascend

  • Operator fusion and custom kernels
  • Tiling strategy and AI Core scheduling
  • Benchmarking and profiling tools

Deployment Strategies

  • Edge vs cloud deployment tradeoffs
  • Using the MindX SDK for deployment
  • Integration with CloudMatrix workflows

Debugging and Monitoring

  • Using Profiler and AiD for tracing
  • Debugging runtime failures
  • Monitoring resource usage and throughput

Case Study and Lab Integration

  • Full pipeline development using MindSpore
  • Lab: Build, optimize, and deploy a model on Ascend
  • Performance comparison with other platforms

Summary and Next Steps

Vereisten

  • An understanding of neural networks and AI workflows
  • Experience with Python programming
  • Familiarity with model training and deployment pipelines

Audience

  • AI engineers
  • Data scientists working with Huawei AI stack
  • ML developers using Ascend and MindSpore
 21 Uren

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  • Training gepland op een datum naar keuze
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