HybridInfer: Thermal-Aware Reinforcement-Learning Tier Routing for On-Device, Edge, and Cloud LLM Inference
Optimizing LLM deployment through intelligent thermal-aware task distribution across edge and cloud architectures.
On-device inference with small language models keeps user data local, works offline, and incurs no per-query cost, so the on-device tier is preferred when it is adequate. It is thermally constrained, however, and I find the constraint is sharper than a slowdown: on a flagship Sna...
ArXiv CS.LG
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HybridInfer addresses the critical thermal constraints of mobile hardware by dynamically routing LLM tasks to manage power and heat effectively. This intelligent distribution preserves performance and battery life while balancing the privacy benefits of local processing with the raw power of cloud resources.
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