OpenAI has shared its experience in scaling PostgreSQL to handle a massive influx of users. The company used replicas to distribute the load, caching to speed up query performance, rate limiting to prevent overwhelming the database, and workload isolation to allocate resources efficiently. By employing these strategies, OpenAI was able to power 800 million ChatGPT users with a robust and scalable database infrastructure. --- Why it matters: This matters to AI researchers because it highlights the importance of efficient database management in supporting large-scale language models like ChatGPT. The techniques used by OpenAI can be applied to other high-traffic applications, making them relevant to engineers working on similar projects. Source: https://openai.com/index/scaling-postgresql