AINeutralarXiv – CS AI · 3h ago6/10
🧠
Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference
A technical study comparing Nvidia and Apple Silicon for running large language models locally reveals fundamental architectural trade-offs: Nvidia achieves higher throughput through specialized quantization but faces memory constraints requiring aggressive model compression, while Apple's unified memory architecture scales more efficiently with superior energy performance. The research highlights ecosystem fragmentation as a major barrier for consumer adoption of datacenter-scale AI inference.
🏢 Nvidia