Zo Computer 如何在 Vercel 上將 AI 可靠性提升 20 倍
Original: How Zo Computer improved AI reliability 20x on Vercel
In the current wave of AI application development, the "instability" of large language models (LLMs) has been one of the biggest pain…
本文介紹 AI 新創公司 Zo Computer 如何利用 Vercel 平台與 AI SDK 解決 LLM 不穩定與延遲問題。他們透過部署 Edge Functions 實現低延遲串流、建立多模型備援（Fallback）與自動重試機制，並結合完善的遙測（Telemetry）監控，最終將系統可靠性顯著提升 20 倍，為 AI 應用開發者提供極佳的架構實踐範例。
In the current wave of AI application development, the "instability" of large language models (LLMs) has been one of the biggest pain points for developers — including random API timeouts, rate limits, and provider service outages. AI startup Zo Computer shared how they used the Vercel platform and Vercel AI SDK to successfully boost the reliability of their AI system by 20 times.
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