SOURCE-LINKED INTELLIGENCE
LLM Inference in a Flash!
Large Language Models (LLMs) have shown impressive capabilities across a range of natural language processing tasks, and LLM inference has emerged as a critical workload for enabling downstream applications. The demands of serving LLM inference are becoming increasingly challenging as requests shift toward longer sequences and heavier inference, driven by retrieval-augmented generation, inference-time compute scaling, and long-context applications. Additionally, these challenges are compounded by hardware trends, as memory capacity and communication bandwidth are not scaling as fast as increas
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T18:04:30.000Z
First collected: 2026-09-20T09:41:04.278Z. This is not the publication date.