Scaling PostgreSQL to power 800 million ChatGPT users
OpenAI Blog
OpenAI scaled PostgreSQL to handle the database demands of supporting 800 million ChatGPT users through replicas, caching, rate limiting, and workload isolation techniques. The system processes millions of queries per second across their infrastructure. This approach allows OpenAI to maintain database performance without replacing PostgreSQL entirely, demonstrating how traditional relational databases can support massive-scale applications.
Why it matters
An inside look at how OpenAI scaled PostgreSQL to millions of queries per second using replicas, caching, rate limiting, and workload isolation.
