AI at the Edge: Navigating Network Challenges

This chapter explores the integration of AI at the edge and the crucial role of network infrastructure in managing distributed computing. It examines the dual processes of data training and inferencing in enterprise systems, contrasting traditional methods with modern, democratized approaches. The discussion highlights the evolving network traffic patterns brought about by generative AI applications and the necessity for innovative strategies to tackle challenges like latency and resource allocation.