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OpenAI describes scaling Habitat storage on Azure Cosmos DB

Original title: Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)

OpenAI News ()13 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

Part II covers multi-tenant Cosmos DB containers after Habitat grew past 500 petabytes for ChatGPT.

OpenAI's engineering post explains how Habitat, its online storage platform, serves more than 1 billion users across 40 regions. Part II focuses on scaling Azure Cosmos DB through co-managed multi-tenant containers after earlier single-tenant and single-container designs. OpenAI describes noisy-neighbor effects, shared logical partition keys and physical-partition throughput limits.

Key facts
  • Habitat must answer in milliseconds for product traffic, OpenAI says.
  • The series says Habitat now holds over 500 petabytes.
  • Clients could choose keys such as user_id or workspace_id, causing collisions.
  • OpenAI says it returned to a multi-tenant container by default after trying single-tenant backing containers.
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From the original article

13 min read at openai.com

Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cosmos DB to deliver 12× faster reads for ChatGPT.

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.