Cracking the inference code: 3 proven strategies for high-performance AI

Source: Red Hat Blog

Introduction

Every organization piloting generative AI (gen AI) eventually hits the inference wall. It’s the moment when the excitement of a working prototype meets the cold reality of production. Suddenly, that single model running on a developer’s laptop needs to serve thousands of concurrent users, maintain sub‑50 ms latency, and somehow not bankrupt the IT budget in cloud costs.

The core challenge for enterprise AI is mainly operational: solving the efficiency equation. It is no longer enough to just run a model—you must run it with precision performance. How do you maximize tokens per dollar? How…