---
title: "OpenAI's Habitat: 70M Requests/Sec for 1B Users"
description: "Via OpenAI Blog: Every OpenAI product relies on fast, reliable data access—whether logging in, checking Codex settings, or starting a ChatGPT conversation...."
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  - MIT Technology Review
---

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### OpenAI's Habitat: 70M Requests/Sec for 1B Users

OpenAI Blog • September 11, 2026 at 6:00 AM ET

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Every OpenAI product relies on fast, reliable data access—whether logging in, checking Codex settings, or starting a ChatGPT conversation. Each action may require many separate lookups. Slow requests make the product feel slow; failed requests stop it entirely. Habitat is the online storage platform built so OpenAI products can quickly and reliably access needed information.

Habitat now handles more than **70 million requests** every second, supporting products used by over **1 billion people** each week across almost **40 geographic regions**. Two years ago, it started as a simple Python client-side library connected to a single database. Today, it’s a complex distributed system serving more than **500 petabytes** of data.

Building at this scale is no easy feat, but what made our situation unique is the unprecedented rate of scaling. We've grown more than **10x year-over-year** for the last three years. Habitat evolved: first becoming reliable for mission-critical traffic, then fast enough for global users, and finally operating at massive scale.

This post is the first in a two-part series. We’ll share how Habitat evolved, why we turned it from a library into a service, and how we stretched a Python-based serving stack into a reliable storage platform layer. A future post will detail multi-tenancy reliability, read performance optimization, and scaling our partnership with Azure Cosmos DB.

[Read original article](https://openai.com/index/scaling-storage-one-billion-users-part-one)

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