The Architecture of Efficiency: A Comprehensive Analysis of Continuous Batching in Large Language Model Inference
1. The Inference Efficiency Paradox: Deterministic Hardware in a Stochastic Age The ascendancy of Large Language Models (LLMs) has precipitated a fundamental crisis in the architectural design of machine learning Read More …