In this video, I benchmark the performance of three of my favorite GPUs for deep learning (DL): the P40, P100, and RTX 3090. Using my custom benchmarking suite, BenchDaddi, I assess the performance of these GPUs across three major DL architectures: CNN, RNN, and Transformers. Whether you're a data scientist, a machine learning engineer, or just an AI enthusiast, this comparison will provide valuable insights into the capabilities of these GPUs.
In this video, you'll discover:
Benchmark Tests: Detailed performance benchmarks across various AI/ML/DL workloads.
Analysis & Insights: In-depth analysis of the results, highlighting strengths and weaknesses.
Use Case Suitability: Recommendations on which GPU is best suited for different types of AI/ML/DL tasks.
#DeepLearning #MachineLearning #AI #GPUBenchmark #NVIDIAGPU #RTX3090 #P40 #P100 #TechReview #DataScience #MLPerformance #DLPerformance #GPUShootout #TechComparison #ArtificialIntelligence #NeuralNetworks #CNN #RNN #Transformers #TechBenchmark #AIEnthusiast
🎥 Other Related Videos:
AI/ML/DL GPU Buying Guide 2024: Get the Most AI Power for Your Budget
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An Open Source GPU Benchmarking Project: BenchDaddi
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8 GPU Server Setup for AI/ML/DL: Supermicro SuperServer 4028GR-TRT
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📚 Video Resources:
Link To Looker Report (Data Visualization From Video)
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Link to Raw GPU Benchmarking Data in Google Sheets
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GitHub Repo For BenchDaddi Benchmarking Suite
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Looker Studio - Free Data Visualization Platform
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*** PLEASE COLLABORATE ***
I cannot possible buy and test every GPU and hardware configuration, but with your help together we can build a library of benchmark data for the betterment of the AI/ML/DL community as a whole. All you need to do to help is pull down the benchmarking suite and run it on your own machines to test the GPUs you have. Then enter the data into google sheets link below under the "new_results" tab. The og_results tab is the original data I used to make this video.
GitHub Repo For BenchDaddi Benchmarking Suite
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Collaborative Results Google Sheet
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HOW TO GET IN CONTACT WITH ME
🐦 X (Formerly Twitter): @TheDataDaddi
📧 Email: skingutube22@gmail.com
💬 Discord: [ Ссылка ]
Feel free to connect with me on X (Formerly Twitter) or shoot me an email for any inquiries, questions, collaborations, or just to say hello! 👋
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.
Buy Me a Coffee
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As a cryptocurrency enthusiast, I warmly welcome donations in crypto. If you're inclined to support my work this way, please feel free to use the following addresses:
Bitcoin (BTC) Address: bc1q3hh904l4uttmge6p58kjhrw4v9clnc6ec0jns7
Ethereum (ETH) Address: 0x733471ED0A46a317A10bf5ea71b399151A4bd6BE
Should you prefer to donate in a cryptocurrency other than Bitcoin or Ethereum, please don't hesitate to reach out, and I'll provide you with the appropriate wallet address.
Thanks for your support!
