如何構建具備擴展性的 AI 應用程式：Vercel 的架構與最佳實踐
Original: How to build scalable AI applications
As generative AI applications proliferate, developers face challenges fundamentally different from traditional web development: high model…
Vercel 探討了構建可擴展 AI 應用的核心挑戰與解決方案。文章指出，傳統網頁架構難以應對 AI 的高延遲與高成本，開發者應採用串流（Streaming）技術提升用戶體驗，並透過邊緣運算（Edge Functions）與快取機制降低延遲。此外，利用 Vercel AI SDK 的統一 API 與可觀測性工具，能有效簡化多模型管理並優化生產環境性能。
As generative AI applications proliferate, developers face challenges fundamentally different from traditional web development: high model invocation costs, API latencies measured in seconds or even minutes, and unpredictable traffic spikes. In this article, Vercel explores in depth how to use modern cloud architecture and tooling to build AI applications that are fast, cost-efficient, and highly scalable.
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