Search


	Podcast:		Computer Science
	Episode:		An AI stack: from scaling AI workloads to evaluating LLMs
	Category:		Education
	Duration:		00:55:58
	Publish Date:		2026-02-26 12:35:57
	Description:		Hilary Term 2026 Strachey Lecture with Professor Ion Stoica, An AI stack: from scaling AI workloads to evaluating LLMs Large language models (LLMs) have taken the world by storm, enabling new applications, intensifying GPU shortages, and raising concerns about the accuracy of their outputs. In this talk, I will present several projects I have worked on to address these challenges. Specifically, I will focus on Ray, a distributed framework for scaling AI workloads, vLLM and SGLang, two high-throughput inference engines for LLMs, and LMArena, a platform for accurate LLM benchmarking. I will conclude with key lessons learned and outline directions for future research.
	Total Play:		0