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 …

From Prompt to Production: An Architectural Deep Dive into the Evolution of LLM Serving

Part I: The Foundational Challenges of LLM Inference The rapid ascent of Large Language Models (LLMs) from research curiosities to production-critical services has precipitated an equally rapid and necessary evolution Read More …