Intelligent computing power for education modernization and smart healthcare
Education and healthcare are cornerstones of public well-being. Built on AI, big data and IoT, ZC Digital Intelligence deeply integrates intelligent computing with industry scenarios, providing schools, hospitals and research institutes with secure, controllable IT infrastructure that accelerates education modernization and smart healthcare.
Overview
For schools, hospitals and research institutes, ZC Digital Intelligence builds intelligent-computing infrastructure covering the full chain of teaching, research and clinical care on a foundation of high-performance AI servers and computing platforms, driving digital transformation in education and intelligent upgrade in healthcare.
The solution supports compute-intensive workloads such as large-model training and inference, medical-image analysis and gene sequencing, and scales elastically with institutional size — from classroom labs to research centers in top-tier hospitals.
Core Capabilities
Smart teaching platform: education large-model training, AI teaching assistants, personalized learning recommendations and virtual training to improve teaching efficiency and learning experience.
AI-assisted clinical care: high-performance GPU computing accelerates intelligent analysis of medical images (CT/MRI/pathology), assisted diagnosis and tumor screening, shortening diagnostic turnaround.
Genomics and research computing: large-scale parallel computing for gene sequencing, protein-structure prediction and drug discovery in the life sciences.
Data security and compliance: full-stack on-premises deployment keeps patient privacy and teaching data in-domain, meeting medical and education regulatory requirements.
Use Cases
Universities and vocational colleges: AI training labs, research computing clusters, smart classrooms
Top-tier hospitals and regional medical centers: image AI-assisted diagnosis, tele-consultation, clinical research
Medical research institutes: gene sequencing, drug screening, bioinformatics analysis