How OpenAI Scaled PostgreSQL to Support 800 Million ChatGPT Users
By
mustaphah
Kettled twice. Extra chewy, extra trustworthy.
Summary
OpenAI shares technical insights on how they scaled PostgreSQL to handle massive growth for ChatGPT and their API, supporting over 800 million users. The article details their infrastructure evolution as PostgreSQL load grew 10x in a year, revealing that PostgreSQL can handle much larger read-heavy workloads than previously thought possible. Key scaling strategies include using read replicas, caching, rate limiting, and workload isolation to achieve millions of queries per second.
Key quotes
· 4 pulledFor years, PostgreSQL has been one of the most critical, under-the-hood data systems powering core products like ChatGPT and OpenAI's API.
Our efforts to advance our production infrastructure to sustain this growth revealed a new insight: PostgreSQL can be scaled to reliably support much larger read-heavy workloads than many previously thought possible.
Over the past year, our PostgreSQL load has grown by more than 10x, and it continues to rise quickly.
The system (initially created by a team of scientists) has proven remarkably scalable with the right infrastructure approach.
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