AI Infrastructure & Cloud Migration•NDA•2025
Swiss Healthcare AI Infrastructure Migration - Cloud to On-Premise
Four-stage AI infrastructure transformation for a Swiss private hospital, migrating medical diagnostics AI from AWS to on-premise infrastructure, processing 200,000 scans monthly while reducing costs by 95% and strengthening data security.
95%Cost Reduction
200KMonthly Scans
2-4sProcessing Time
$5.4M3-Year Savings
Deep Learning · Computer Vision · Medical AI · CNN · NVIDIA GPUs · PACS Integration · Infrastructure Design · Cloud Migration
Deep Dive
The project evolved through four distinct stages over two years, with each stage building on previous work while adapting to changing requirements and operational realities. What began as a cloud-based AI deployment ultimately became an on-premise solution when production economics and data residency priorities shifted.
| Stage | Focus Area | Status | Key Capabilities |
|---|---|---|---|
| 1 | Model Development & Cloud Deployment | Completed | Multi-modality image analysis, abnormality detection, priority scoring, PACS integration, elastic cloud infrastructure |
| 2 | Production Scale & Analysis | Completed | 200K monthly scans, cost analysis, optimization evaluation, TCO modeling, data residency assessment |
| 3 | Infrastructure Design | Completed | Hardware specification, redundancy planning, network optimization, disaster recovery design, team capability validation |
| 4 | Migration & Optimization | Completed | Parallel operation, seamless cutover, performance tuning, compliance documentation, monitoring implementation |
