Database connection delays can cripple high-throughput AI systems. Each new connection adds 50–100ms of latency, a serious bottleneck when managing thousands of simultaneous requests. Connection pooling is the solution, reducing setup time to as little as 0.1ms by reusing pre-established connections. This approach also cuts memory usage and prevents errors like "too many connections."
