Course Outline

Introduction to Huawei’s AI Ecosystem for Government

  • Overview of Ascend AI hardware: 310, 910, and 910B models
  • Key components: MindSpore, CANN, and AscendCL
  • Industry positioning and architecture principles for government applications

The Role of CANN in Huawei’s AI Stack for Government

  • Overview of CANN: SDK purpose and internal layers
  • ATC, TBE, and AscendCL: compiling and executing models efficiently
  • How CANN supports inference optimization and deployment for government use cases

MindSpore Overview and Architecture for Government

  • Training and inference workflows in MindSpore
  • Graph mode, PyNative, and hardware abstraction layers
  • Integration with Ascend NPU via the CANN backend for enhanced performance

AI Lifecycle on Ascend: Training to Deployment for Government

  • Model creation in MindSpore or conversion from other frameworks for government projects
  • Exporting and compiling models using ATC for efficient deployment
  • Deploying models on Ascend hardware using OM models and AscendCL for government operations

Comparison with Other AI Stacks for Government

  • MindSpore vs. PyTorch, TensorFlow: focus and positioning in the context of government needs
  • Deployment workflows on Ascend hardware compared to GPU-based stacks for government applications
  • Opportunities and limitations for enterprise use in government settings

Enterprise Integration Scenarios for Government

  • Use cases in smart manufacturing, government AI initiatives, and telecommunications
  • Considerations for scalability, compliance, and ecosystem integration for government agencies
  • Cloud/on-prem hybrid deployment using the Huawei stack for government operations

Summary and Next Steps for Government

Requirements

  • Familiarity with artificial intelligence workflows or platform architecture for government use
  • Basic understanding of model training and deployment processes
  • No prior hands-on experience with CANN or MindSpore is necessary

Audience

  • AI platform evaluators and infrastructure architects for government projects
  • AI/ML DevOps and pipeline integrators in the public sector
  • Technology managers and decision-makers within government agencies
 14 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Upcoming Courses

Understanding Huawei’s AI Compute Stack: From CANN to MindSpore

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Understanding Huawei’s AI Compute Stack: From CANN to MindSpore

2026-04-07 09:30
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