An Open Source GPU Benchmarking Project: BenchDaddi
In this video, I'm excited to introduce BenchDaddi, an innovative open-source GPU benchmarking suite that I've developed. BenchDaddi empowers users to analyze GPU performance across various AI tasks with precision and ease. Throughout this tutorial, I'll walk you through the suite's repository structure, setup, and installation process, showcasing how to leverage its benchmarking scripts tailored for Transformers (BERT), RNNs (LSTM), and CNNs (ResNet50).
Throughout the tutorial, you'll learn how to assess your GPU's throughput, execution time, data transfer time, and memory usage for both training and inference. Whether you're interested in testing thermals, evaluating server noise, or simply curious about your GPU's capabilities, this video provides comprehensive coverage.
Moreover, this project represents the start of an open-source initiative aimed at establishing a reliable method for evaluating the performance of different GPUs. Collaboration is encouraged, so feel free to join us as we work towards refining GPU benchmarking practices together.
Github Repo: https://github.com/thedatadaddi/BenchDaddi
HOW TO GET IN TOUCH WITH ME 👋
For the most up-to-date contact details, please visit my YouTube bio. Open to any and all inquiries, collaborations, questions, or feel free just to say hello! Thanks for your interest!
HOW TO SUPPORT MY CHANNEL 🙏
If you found this content useful, please consider buying me a coffee at the link below. This goes a long way in helping me through grad school and allows me to continue making the best content possible.
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https://www.buymeacoffee.com/TheDataDaddi
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