This is the second post in the LLM Benchmarking series, which shows how to use GenAI-Perf to benchmark the Meta Llama 3 model when deployed with NVIDIA NIM.

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The post explains how to use GenAI-Perf to benchmark the performance of the Meta Llama 3 model deployed with NVIDIA NIM, highlighting critical metrics like time to first token and tokens per second. It also covers the setup of NVIDIA NIM inference microservices for LLMs and offers guidance on analyzing performance output to optimize AI applications.

LLM Performance Benchmarking: Measuring NVIDIA NIM Performance with GenAI-Perf

Why use GenAI-Perf for benchmarking model performance?