Assessing LLM Performance on GCP's 5th Gen Xeon Processors

A new benchmarking study evaluates how large language models (LLMs) perform on Google Cloud Platform (GCP) instances powered by 5th Gen Intel Xeon processors. The tests measure inference speed, latency, and throughput for various LLM sizes, revealing that the latest Xeon chips offer significant improvements over previous generations. Key findings include up to 40% faster token generation for models like GPT-J and LLaMA, thanks to advanced AVX-512 instructions and increased memory bandwidth. The results suggest that for cloud AI workloads, 5th Gen Xeon provides a competitive, cost-effective alternative to GPU-based inference, particularly for latency-sensitive applications.