LLM Inference Serving: Survey of Recent Advances and Opportunities
July 17, 2024 Β· Declared Dead Β· π IEEE Conference on High Performance Extreme Computing
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Authors
Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari
arXiv ID
2407.12391
Category
cs.DC: Distributed Computing
Cross-listed
cs.AI
Citations
47
Venue
IEEE Conference on High Performance Extreme Computing
Last Checked
6 months ago
Abstract
This survey offers a comprehensive overview of recent advancements in Large Language Model (LLM) serving systems, focusing on research since the year 2023. We specifically examine system-level enhancements that improve performance and efficiency without altering the core LLM decoding mechanisms. By selecting and reviewing high-quality papers from prestigious ML and system venues, we highlight key innovations and practical considerations for deploying and scaling LLMs in real-world production environments. This survey serves as a valuable resource for LLM practitioners seeking to stay abreast of the latest developments in this rapidly evolving field.
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