AI Overview and Huawei AI Strategy
The AI Overview and Huawei AI Strategy domain tests whether you can place Huawei products inside a layered AI architecture and pick the layer that owns a given customer requirement.
The full-stack, all-scenario idea
Huawei describes its AI portfolio as full-stack and all-scenario. Full-stack runs from chips (Ascend) through chip enablement (CANN), framework (MindSpore), and application enablement (ModelArts, HiAI, Huawei Cloud EI). All-scenario means the same portfolio is intended to serve device, edge, and cloud rather than one tier only.
Layer ownership
- Ascend: AI processors. Ascend 310 is positioned for inference; Ascend 910 for training.
- CANN: operator libraries, compiler, and runtime that expose Ascend hardware to frameworks.
- MindSpore: the deep-learning framework layer, including automatic differentiation and automatic parallelism.
- ModelArts: a cloud AI development and deployment platform.
- HiAI: device-side AI capability for terminals.
Worked example
A hospital wants an on-premise image-screening model trained on its own data, with no cloud upload. Reasoning: training points to Ascend 910 servers such as Atlas 800; the framework is MindSpore; CANN supplies the hardware runtime. Huawei Cloud EI fails the no-cloud constraint, and ModelArts is optional unless privately deployed. The answer should name an on-premise training stack, not a cloud service.
Traps
Do not treat MindSpore as hardware or Ascend as a framework. Do not answer cloud-only for an all-scenario question. Do not assign Ascend 310 to training. Words such as edge or terminal point to Atlas edge products or HiAI, not to a data-center training cluster.