Optimizing LLM Inference: The Evolution of PagedAttention and RadixAttention in High-Performance Serving Engines

As Large Language Models (LLMs) transition from research breakthroughs to the backbone of enterprise production environments, the focus of technical optimization has shifted from model architecture to the underlying serving…

Optimizing LLM Inference: The Evolution of KV Cache Management via PagedAttention and RadixAttention

The rapid advancement of Large Language Models (LLMs) has shifted the primary challenge of artificial intelligence from model training to efficient production deployment. While techniques such as quantization, pruning, and…