community Reddit LocalLLaMA 2026-07-08T08:09 正文 thin 0 words

Literature Review: LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load | Bnechmarking LLMs on Phones [R]

英文标题:Literature Review: LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load | Bnechmarking LLMs on Phones [R]

Just finished reading the paper: LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load I am starting to benchmark LLMs on edge devices, particularly phones thus been reading a lot on the what has been done and what is currently being done and wa
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中文

Just finished reading the paper: LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load I am starting to benchmark LLMs on edge devices, particularly phones thus been reading a lot on the what has been done and what is currently being done and wa

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English / 原文

Just finished reading the paper: LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load I am starting to benchmark LLMs on edge devices, particularly phones thus been reading a lot on the what has been done and what is currently being done and wa