This project would investigate the storage access patterns of LLM agents using open-source state-of-the-art inference frameworks such as vLLM and SGLang and workload traces such as the ones released by Mooncake, Alibaba, Swiss AI Initiative, etc. Depending on the size and duration of the project, it can also propose or implement optimizations for the storage access. This project would be suitable …
Supervisors: Pınar Tözün, Jens Birk Andersen
Semester: Fall 2026
Tags: SSDs, LLMs, agents, modern storage