PhD student from the University of Washington, Luke Zettlemoyer, has written a comprehensive and insightful article on the best GPUs for deep learning.
Deep learning is a field with intense computational requirements, and your choice of GPU will fundamentally determine your deep learning experience.
When it comes to the most important GPU specs for deep learning processing speed, Tensor Cores are most important, followed by memory bandwidth of a GPU, the cache hierachy, and only then FLOPS of a GPU.
Mr. Zettlemoyer provides benchmarks and a flow-chart to help narrow down recommendations based on your use case.
Once you’ve determined your GPU requirements, NextComputing offers a variety of computing platforms built around your specific use case. Contact us today to explore new deep learning computer solutions.