LLM Optimization: Techniques and Guide

The way you place models near data, schedule and bin pack GPU workloads, and enforce multi-tenant and sovereignty boundaries has more impact on real-world outcomes than marginal changes in model architecture. This guide focuses on that version of LLM optimization: optimizing how you deploy and operate LLM powered applications on GPUs so that performance, cost, and compliance constraints are all satisfied.