1 Billion Classifications: Cost & Latency Optimization

AI Impact Summary

Scaling document classification or embedding pipelines to 1 billion+ requests daily presents significant cost and performance challenges. This analysis focuses on optimizing inference server configurations, exploring hardware options, and benchmarking batch sizes and virtual user loads to achieve cost-efficient, high-throughput results. The blog highlights key considerations like GPU selection, deployment frameworks (Hugging Face Hub, Infinity), and load testing tools (k6) to manage this scale.