OpenAI Details Scaling Habitat Storage for ChatGPT with Azure Cosmos DB

OpenAI published a technical deep-dive explaining how they scaled their Habitat storage platform using multi-tenancy, global caching, and Azure Cosmos DB. This architecture achieved 12x faster reads, cutting global read latency from 120ms to 10ms for ChatGPT users. This update provides valuable real-world architectural insights for engineers dealing with extreme scale, web storage, and global distribution. Serving over 1 billion users across nearly 40 regions requires robust database strategies that can handle tens of millions of queries per second. Habitat now processes over 70 million requests every second and manages storage scaling up to 500 petabytes using Azure Cosmos DB. The system relies on reliable multi-tenancy and global caching to maintain high availability and rapid response times.