ARCHITECTURE 平台架構
AI Data Platform Architecture AI Data Platform 架構
Enterprises can flexibly select the most suitable hardware devices, AI modules, and application services based on their AI application needs, existing IT environment, and budget scale. Whether they require GPU/CPU servers, cache/storage architecture, AI vision, speech, or inference modules, each component can be freely combined and expanded. This helps enterprises quickly build a scalable, manageable, and commercially viable on-premises AI infrastructure platform with sustainable growth potential and optimized cost efficiency.企業可依據自身 AI 應用需求、既有 IT 環境與預算規模,彈性選擇最適合的硬體設備、AI 模組與應用服務。無論是 GPU / CPU Server、Cache / Storage 架構,或 AI 視覺、語音、推理等模組,皆可自由組合與擴充,協助企業以最合適的成本快速打造可持續成長的可擴充、可管理、可商業化的地端 AI 基礎平台。