Tutorials on Ai Workloads

Watch: OpenAI Runs On Postgres! by Mehul Mohan PostgreSQL plays a critical role in AI development by combining scalability, flexibility, and cost-effectiveness for managing large-scale, high-performance workloads. Its ability to handle read-heavy AI applications, integrate vector search capabilities, and use managed cloud services makes it a foundational tool for companies like OpenAI. Below, we break down its importance through real-world examples, technical advantages, and comparisons with alternatives.. PostgreSQL’s architecture supports read-heavy AI applications with read replicas and optimized query tuning. OpenAI, for instance, runs 1 million queries per second (QPS) using 40 read replicas on Azure’s managed PostgreSQL service, demonstrating its capacity to handle planetary-scale workloads. This setup avoids sharding-a complex and maintenance-heavy strategy-by prioritizing read scalability, which aligns with many AI pipelines that emphasize data retrieval over frequent writes.