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

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Тэги:

#GPU_benchmarking #AI_tasks #TDD_GPU_Benchmarking_Suite #open-source_tool #Transformers #BERT #RNNs #LSTM #CNNs #ResNet50 #GPU_performance #performance_evaluation #benchmarking_scripts #GPU_throughput #execution_time #data_transfer_time #memory_usage #training #inference #thermals #server_noise #GPU_capabilities #open-source_initiative #collaboration

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