The Myth of the Optimal Configuration

Every team deploying LLMs eventually runs into the same question: “What’s the optimal setup for my model?” But as soon as you start moving beyond toy examples and into real production traffic, you discover an uncomfortable truth: optimal doesn’t exist. It shifts. It depends. And every decision — GPU type, model variant, framework, batch size, prompt shape, concurrency — creates a new performance reality.