{"version":"1.0","generated_at":"2026-10-24T10:20:24.699730","id":3585,"slug":"rapidly-scaling-online-storage-to-serve-over-1-billion-chatgpt-users-part-ii","title":"支撑 10 亿级 ChatGPT 用户的在线存储如何快速扩容（下篇）","summary":"OpenAI 工程团队公开 Habitat 在线存储系统的第二篇实践：通过可靠的多租户隔离、全局缓存和 Azure Cosmos DB，把 ChatGPT 的读取性能提升到 12 倍。","abstract":"支撑 10 亿级 ChatGPT 用户的在线存储如何快速扩容（下篇） OpenAI 工程团队公开 Habitat 在线存储系统的第二篇实践：通过可靠的多租户隔离、全局缓存和 Azure Cosmos DB，把 ChatGPT 的读取性能提升到 12 倍。 OpenAI 工程团队公开 Habitat 在线存储系统的第二篇实践：通过可靠的多租户隔离、全局缓存和 Azure Cosmos DB，把 ChatGPT 的读取性能提升到 12 倍。 原贴提到：Learn how OpenAI scaled Habitat with reliable multi-tenancy, global cach 来源：openai.com 了解 OpenAI 如何通过可靠的多租户架构、全局缓存和 Azure Cosmos DB 来扩展 Habitat，为 ChatGPT 实现快 12 倍的读取速度。 这是什么信号 OpenAI 发布了 Habitat 系列工程博客的第二篇，主题是“在线存储如何快速扩容以服务 10 亿以上 ChatGPT 用户”。这篇内容披露了三个工程重点：可靠的多租户、全局缓存，以及基于 Azure Cosmos DB 的存储方案，最终带来 ChatGPT 读取速度 12 倍的提升。 这不是一次产品发布，而是一次基础设施能力披露。它说明 OpenAI 已经把叙事重心从“模型能做什么”推进到“模型背后的系统能撑住多少人”。 为什么重要 10 亿用户量级下，存储面临的挑战不再是容量，而是共享资源下的稳定读取。多租户意味着不同客户、不同请求共用同一套底层系统，任何一个租户的异常都可能影…","access_level":"member","access_label":"免费阅读","access_mode":"full","is_preview":false,"canonical_url":"https://opc.beizhux.com/content/3585/rapidly-scaling-online-storage-to-serve-over-1-billion-chatgpt-users-part-ii","html_url":"https://opc.beizhux.com/content/3585/rapidly-scaling-online-storage-to-serve-over-1-billion-chatgpt-users-part-ii","json_url":"https://opc.beizhux.com/content/3585/rapidly-scaling-online-storage-to-serve-over-1-billion-chatgpt-users-part-ii.json","published_at":"2026-10-24T01:00:00","updated_at":"2026-10-24T09:44:43","category":{"slug":"ai-business","name":"AI小生意项目库"},"source":{"site":"openai.com","author":"OpenAI News","url":"https://openai.com/index/scaling-storage-one-billion-users-part-two"},"tags":["Azure Cosmos 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