Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Intro to Huawei's AI Ecosystem
- An overview of Ascend AI processors: 310, 910, and 910B.
- Key high-level elements: MindSpore, CANN, and AscendCL.
- Market positioning and core architectural principles.
CANN's Function within Huawei's AI Stack
- Defining CANN: The SDK's purpose and its internal hierarchy.
- ATC, TBE, and AscendCL: The mechanics of compiling and running models.
- How CANN drives inference optimization and deployment tasks.
MindSpore: Structure and Capabilities
- Training and inference workflows specific to MindSpore.
- Understanding Graph mode, PyNative, and hardware abstraction layers.
- How MindSpore integrates with Ascend NPUs through the CANN backend.
Navigating the AI Lifecycle on Ascend: From Training to Release
- Creating models in MindSpore or importing them from other frameworks.
- The process of exporting and compiling models via ATC.
- Deploying on Ascend hardware using OM models and AscendCL.
Benchmarking Against Alternative AI Stacks
- MindSpore versus PyTorch and TensorFlow: Comparative focus and market positioning.
- Deployment workflows on Ascend versus traditional GPU-based architectures.
- Identifying opportunities and constraints for enterprise adoption.
Enterprise Application Scenarios
- Real-world applications in smart manufacturing, government AI initiatives, and telecommunications.
- Considerations regarding scalability, regulatory compliance, and ecosystem support.
- Implementing hybrid cloud/on-premises strategies using the Huawei stack.
Recap and Future Directions
Requirements
- A foundational grasp of AI workflows or platform architecture.
- Basic knowledge of model training and deployment processes.
- Prior hands-on experience with CANN or MindSpore is not mandatory.
Target Audience
- Professionals evaluating AI platforms and architects designing infrastructure.
- AI/ML DevOps specialists and pipeline integration experts.
- Technology leaders and strategic decision-makers.
14 Hours
