Presentation: Serving LLMs at Scale: The Hidden KV Cache Advantage

Khawaja Shams outlines distributed systems strategies for improving large language model inference efficiency, specifically focusing on GPU utilization and KV cache management. These techniques aim to mitigate memory bottlenecks and reduce latency by utilizing tiered storage and disaggregated compute architectures. Such optimizations are intended to help infrastructure teams handle higher traffic volumes while maintaining performance stability in production environments.