Database Perspective on LLM Inference Systems

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Review discusses lowering inference costs using database techniques in LLMs, indicating hardware and scaling benefits.

Optimizing inference systems can significantly reduce costs for large language models in database applications.
Techniques like managing request lifecycles and exploiting specialized hardware are crucial for efficiency.
The study provides insights on model execution, optimization, and memory management in effective request processing.
Combining diverse architectures allows for better scalability and performance in inference systems.

Pan et al. (2025) studied this question.

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