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[R] Simple trick to double deep learning speed + CNN and GPU Benchmarks

[R] Simple trick to double deep learning speed + CNN and GPU Benchmarks

With NeurIPS behind us and ICML ahead, maybe you want to do some deep learning. Inspired by Justin Johnson’s original work benchmarking the older GTX GPUs, I extended this work to the new RTX GPUs with benchmarks for most ResNet architectures on ImageNet and CIFAR. Along the way, I discovered a dramatic difference in performance based on how you position your GPUs. Enjoy, and please comment if you have questions or feedback 🙂

The 4-gpu deep learning workstation used for these benchmarks.

submitted by /u/cgnorthcutt
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.