Full-tier Medical AI
Compute Power Solutions
From hospital-level training to primary-care applications Full-scenario Medical AI deployment
Responding to the compute power needs, deployment conditions and data compliance requirements of institutions of different sizes, we have built a three-tier medical AI compute power system — hospital-level training, departmental inference, primary-care cloud — covering the full chain from model training and clinical inference to primary-care screening. It gives institutions at every level a precisely matched AI compute power foundation that balances data security, deployment efficiency and cost-effectiveness, helping medical AI reach everyone.
Hospital-level AI Training & Compute Centre
For large tertiary hospitals and regional medical centres · High-performance training server
Use cases: Medical AI research training for medical schools and key departments; compute power support for hospital-wide AI-assisted diagnosis systems; core compute nodes for regional medical centres
Department-level Local Inference Terminal
For mid-sized hospitals and clinical departments · X98 Mobile AI Workstation or DGX Spark desktop platform
- Portable compute power, flexible deployment
- Department-level compute configuration
- End-to-end data security
- Desktop-level supercomputing performance
- Ready out of the box with low operations overhead
- Silent, low-power design
Use cases: AI-assisted diagnosis in municipal and county hospitals; AI analysis of regional pathology slides in the pathology department; bedside AI-assisted consultation and structured medical-record processing in clinical departments; lightweight AI inference in specialty consulting rooms and mobile medical vehicles
Primary-care Cloud Inference Service
For primary-care institutions and community clinics · Medical AI cloud inference service
Use cases: AI screening in township health centres and community health service centres; AI-assisted diagnosis and triage suggestions for common diseases in primary-care clinics; large-scale population AI screening for public health programmes; AI-assisted diagnosis support in telemedicine scenarios