Use Cases
Healthcare: text-left / image-right · Autonomous Driving: image-left / text-right.
Healthcare
The Compute Engine for precision medicine and intelligent diagnostics
Key challenges
- Massive medical imaging datasets; long processing time
- Strict privacy and regulatory compliance requirements
- Complex genomics computation pipelines
- High-accuracy training required for diagnostic models
Solution architecture
- AICC medical-dedicated secure zone
- Security isolation aligned with ISO 27799 practices
- High-performance imaging rendering acceleration
- Multi-modal medical foundation model pre-training
Case study
“Partnered with a leading hospital group: reduced CT recognition time from 10 minutes to 15 seconds,
improving accuracy to 98.5%.”
Autonomous Driving
A Digital-Twin testfield for L4 autonomous driving
Key challenges
- High labeling cost for corner cases
- Simulation-to-reality gap
- Long iteration cycle for perception & decision models
- Data latency constraints for vehicle-road collaboration
Solution architecture
- Large-model powered labeling platform
- Low-latency V2X edge nodes
- Trillion-km scale simulation compute support
- End-to-end autonomous driving training pipeline
Case study
“Enabled a new energy automaker to accelerate L4 model iteration; simulation and testing efficiency improved by 300%.”