Zhiyun Industry-Education-Research Innovation Platform

Functional Overview

A self-developed digital cornerstone for education and research, comprising three layers: digital engine, digital assets, and digital applications, covering five innovation arenas: education and teaching innovation, AI science and technology practice, smart hardware innovation, AI computing power operation, and AI4S innovation research.

Customer Pain Points

  • Campus informatization systems are fragmented, with severe data silos, making it difficult to support industry-education integration and scientific research innovation.
  • Lack of a unified AI development and practical training platform makes it difficult for students to access real industrial scenarios.
  • Insufficient scientific research computing resources to meet high-intensity computing demands such as AI4S and large model training.
  • Teaching resources are disconnected from industry demands, and the quality of talent cultivation is difficult to match enterprise hiring standards.

Solution Advantages

  • Three-layer integrated architecture: Digital engine (integration engine + AI toolchain + scheduling engine), digital assets (model / dataset / agent / course / project library), and digital applications (five innovation arenas), providing full-stack capabilities from infrastructure to applications.
  • Full coverage of five innovation arenas: Education and teaching innovation arena (AI teaching assistant / AI learning / interview coaching), AI science and technology practice arena (developer platform + industry scenario kits), smart hardware innovation arena (HarmonyOS / Ascend development ecosystem), AI computing power operation arena (user / operation / O&M services), and AI4S innovation research arena (AI literature + scientific computing + automated experiments).
  • Deep industry-education integration: Aggregates industry resources from 100+ ecosystem partners including Huawei, with built-in real project cases, industry datasets, and job competency profiles, achieving precise alignment between talent cultivation and industry demands.
  • Domestic and self-controllable: Fully adapts to domestic computing power, operating systems, and AI frameworks, meeting the requirements for education IT innovation substitution.

Architecture Diagram

Architecture Diagram