技術架構
服務原則
我們的架構方法聚焦於安全、可擴充、可維運的本地 AI 推論平台設計。Our architecture approach focuses on secure, scalable, and operationally sustainable on-prem AI inference platforms.
系統架構System Architecture
以工作負載為導向，建立效能目標、擴充規劃與風險控管。Workload-driven design with clear performance targets, scalability planning, and risk controls.
記憶體與頻寬優化
Memory & Bandwidth
針對高頻寬記憶體與高吞吐推論流程進行架構設計與優化 Architected for high-bandwidth memory systems and throughput-critical inference pipelines.
可靠性工程Reliability Engineering
以可維運為核心：監控、故障隔離、可重複部署Designed with operational readiness: monitoring, fault isolation, and deployment repeatability.
安全基線Security Baseline
符合受監管環境：網段隔離、權限政策、稽核可追溯 。Security controls aligned with regulated environments: segmentation, access policy, and auditability.
算力自主Computational sovereignty
當資料主權與營運控管是必要條件時，本地 AI 將成為預設部署選項。When data sovereignty and operational control are required, on-prem AI becomes the default deployment choice.