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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 |