"AI Compute Cost Optimization for Startups: A Practical Framework"

This article addresses how startups often overspend on AI compute budgets and introduces a practical framework for cost optimization. It outlines four key pillars, including model right-sizing and inference caching, aiming for a 60% cost reduction and extended runway.