Welcome to BenchDaddi – a revolutionary open-source GPU benchmarking suite! In this video, I introduce a major addition to BenchDaddi, designed to help you analyze GPU and CPU performance across a range of AI tasks with ease and precision. This tutorial will guide you through the suite's repository structure, setup, and installation process, and I’ll show you how to use its latest benchmarking scripts specifically tailored for large language models (LLMs) with Ollama.

I’ll cover how to benchmark your GPUs with metrics such as tokens generated per second, load duration, prompt evaluation time, response evaluation duration, total duration, memory utilization, and more. Whether you're interested in testing thermals, monitoring server noise, or exploring your GPU’s capabilities, this tutorial offers a complete guide.

BenchDaddi isn’t just a tool; it’s an open-source initiative aimed at establishing a reliable standard for GPU performance evaluation. Collaboration is key, so if you're passionate about GPU benchmarking, join us as we work to advance benchmarking practices together. Let’s dive into BenchDaddi and discover the potential of your hardware!

Github Repo: github.com/thedatadaddi/BenchDaddi

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