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Description
The white paper provides an in-depth performance evaluation of the Intel® Gaudi® 2 AI accelerator, focusing on its capabilities to efficiently process advanced large language models such as Llama-3.1-8B and Falcon3-10B. The evaluation benchmarks the accelerator’s performance across critical metrics like latency, throughput, and Time to First Token (TTFT) under various conditions, including normal chat interactions and Retrieval-Augmented Generation (RAG) scenarios. The findings reveal significant improvements in latency reduction and throughput, offering actionable insights for optimizing AI infrastructure. This document aims to guide organizations in leveraging the full potential of their AI investments, enhancing competitiveness and innovation capacity in the AI-driven market.