技術架構

Secure On-Prem AI Architecture
安全的本地AI架構

架構描述

The platform is designed around on-prem AI servers with GPU acceleration,
integrated with clinical systems while maintaining strict data isolation.

平台以GPU加速的本地AI伺服器為核心，
與臨床系統整合並維持嚴格資料隔離。

關鍵特性

• On-prem AI servers 本地AI伺服器

• GPU acceleration layer GPU加速層

• Medical data firewall 醫療資料防火牆

• Clinic terminals 診所終端設備

• Audit & logging 稽核與紀錄

Growing Demand for Medical AI
醫療AI需求快速成長

內容

Healthcare AI adoption is accelerating globally.
Dental and medical imaging are among the fastest-growing segments.

全球醫療AI導入快速成長，
牙科與醫療影像為成長最快領域之一。

市場訊號

• Rising demand for AI diagnostics

• Digital dentistry expansion in Asia

• Insurance-driven health screening models

• Potential scaling to 1,000+ clinics

Why Advanced GPU Computing Matters
為何需要高效能GPU運算

Modern medical AI models require:

• Large memory capacity

• High bandwidth data processing

• Real-time inference capability

• Multi-modal workload handling

現代醫療AI模型需要：

• 大容量記憶體

• 高頻寬資料處理

• 即時推論能力

• 多模態運算支援