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Hardware & Compute15 min read

OpenAI scales Azure Cosmos DB to serve 1 billion ChatGPT users

OpenAI has detailed how it scaled its internal storage platform, Habitat, to support over 1 billion users across 40 geographic regions. The system now manages more than 500 petabytes of data, with the largest single Azure Cosmos DB account handling over 20 million queries per second. The engineering team describes a complex journey from single-tenant to multi-tenant architectures, driven by the…

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Key points

  • Habitat serves over 1 billion users and stores more than 500 petabytes of data.
  • The largest Azure Cosmos DB account handles over 20 million queries per second.
  • OpenAI and Azure co-developed a multi-tenant design with request tiering to prevent noisy neighbors.

Initially, OpenAI relied on a shared default container, which led to performance issues like noisy neighbors and throughput bottlenecks. The team then moved to separate containers for critical workloads, but this created significant capacity planning challenges for product teams. To resolve this, OpenAI collaborated closely with the Azure team to develop a new multi-tenant approach using co-managed containers. This included implementing request tiering and a new serverless mode that allows physical partitions to scale up to 10,000 request units per second.

The partnership also addressed reliability gaps exposed by a regional power outage in late 2024, which revealed that failover times for such massive accounts were untested and problematic. OpenAI and Azure now jointly monitor and test the infrastructure, sharing dashboards and engineering channels to manage failure modes at a scale where standard managed services are no longer sufficient.

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

OpenAI · 23 October 2026

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This text was published by OpenAI. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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