AI Model Co-Design: Hardware-Friendly LLM Design
This article discusses the balance of accuracy, throughput, and interactivity in AI performance, focusing on how model design choices impact throughput and interactivity in large language models.
AI performance comes down to three dimensions: accuracy, throughput, and interactivity. Deployments must balance all three: high accuracy is wasted if responses are slow, and raw throughput means little if each user’s experience is laggy. Practical systems therefore optimize accuracy, throughput, and interactivity together. This post focuses on throughput and interactivity, and how model-design choices shape both without compromising accuracy. The article emphasizes the importance of co-designing AI models with hardware in mind to improve performance and user experience.