摘要
Abstract
With the rapid development of artificial intelligence technology,DeepSeek,a high-performance open-source large model,has gradually become the focus of the industry.This paper delves into the background,advantages,and challenges of DeepSeek's local deployment on terminal devices and proposes targeted technical suggestions from four aspects:hardware adaptation,end-network collaboration,multi-model adaptation,and complete experience delivery.Firstly,hardware adaptation,through quantization compression and multi-thread parallelization,can significantly reduce the model's demand for hardware resources.Secondly,end-network collaboration,leveraging edge computing and intelligent scheduling algorithms,can effectively decrease network latency and bandwidth consumption.Thirdly,multi-model adaptation and the construction of hybrid AI capabilities can enhance the flexibility of terminal devices in diverse application scenarios.Meanwhile,complete experience delivery and product innovation have further optimized the user experience.In addition,this paper analyzes the practical application effects of DeepSeek in smart home,intelligent driving,and industrial inspection fields and looks forward to its future development directions,providing a comprehensive reference for the efficient deployment of DeepSeek on terminal devices.关键词
DeepSeek/本地部署/硬件适配/端网协同/AI终端Key words
DeepSeek/local deployment/hardware adaptation/end-network collaboration/AI terminal分类
信息技术与安全科学
