NVIDIA DGX-2 AI Supercomputer and New Tesla T4 Set Image Recognition Records for Training and Inference – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-27T16:00:00Z http://www.open-lab.net/blog/feed/ Brad Nemire <![CDATA[NVIDIA DGX-2 AI Supercomputer and New Tesla T4 Set Image Recognition Records for Training and Inference]]> https://news.www.open-lab.net/?p=11440 2022-08-21T23:45:59Z 2018-09-13T02:11:39Z Earlier this year, we talked about performance breakthroughs enabled by two new technologies we developed.?Related to data augmentation and tensor parameter...]]> Earlier this year, we talked about performance breakthroughs enabled by two new technologies we developed.?Related to data augmentation and tensor parameter...

Earlier this year, we talked about performance breakthroughs enabled by two new technologies we developed. Related to data augmentation and tensor parameter interleaving, these technologies enabled a single Tesla V100 GPU to do a ResNet-50 training run in just under 24 hours (1,350 images/second). We also discussed how these same technologies enabled a single DGX-1 server node to train ResNet in��

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