Nvidia Rtx 2080 Ti For Deep Learning

Amd absolutely crushes nvidia in this area.

Nvidia rtx 2080 ti for deep learning. Rtx 2080 ti is an excellent gpu for deep learning and offer the best performance price. Using nvlink will not combine the vram of multiple gpus unlike titans or quadro. The rtx 2080 ti is 40 faster than the rtx 2080. Nvidia announced rtx 2070 which is claimed to be 40 faster than gtx 1070.

If you are serious about deep learning and your gpu budget is 1 200. Titan rtx and quadro rtx 6000 24 gb. Rtx 2080 ti 11 gb. Nvidia rtx 2080 ti vs titan rtx vs quadro rtx 8000 vs quadro rtx 6000 vs tesla v100 vs titan v.

One key feature for machine learning in the turing rtx range is the tensor core. In this blog we benchmark test the nvidia geforce rtx 2080 ti gpu on the tensorflow deep learning framework. According to nvidia this enables computation running in floating point 16 instead of the regular floating point 32 and cut down the time for training a deep learning model by up to 50. If you are working on sota models extensively but don t have budget for the future proofing available with the rtx 8000.

The main limitation is the vram size. If you are willing to shell out for the p5000 you might want to look at the titan v or the titan rtx they will be better suited than the 2080 ti since they do have fp32 accumulate accelerated in the tensor cores. The rtx 2080 ti will offer better speeds but lower memory than the p5000. Our results show that the rtx 2080 ti provides incredible value for the price.

In this post lambda discusses the rtx 2080 ti s deep learning performance compared with other gpus. We use the rtx 2080 ti to train resnet 50 resnet 152 inception v3 inception v4 vgg 16 alexnet and ssd300. Training on rtx 2080 ti will require small batch sizes and in some cases you will not be able to train large models. We ran the tests on one of our deep learning workstations see system specs below with multiple gpu configurations 1 2 4.

In this article we are comparing the best graphics cards for deep learning in 2020. Only the uninformed and technologically illiterate buy nvidia especially gtx rtx for professional workloads. While there has been a lot of anticipation in the gaming community my eyes are gleaming with the possibilities in deep learning as i am writing this post.