Re:Analyzing the performance of Tensorflow training on M1 Ma...
by Firadeoclus on Friday January 15, 2021 @05:47AM
(#25789293)
A GTX1080 manages about ~9 TFLOPS(fp32) (and has terrible fp16 support), where V100 gets ~15 TFLOPS(fp16), ~30 TFLOPS(fp16), and ~120 TFLOPS(tensor cores).
Apart from one being a gaming product and the other being designed for computational tasks, they're a generation apart and have various small differences that may be quite relevant for individual tasks (such as V100 allowing twice the shared memory - 96 KiB - per thread block)
Apart from one being a gaming product and the other being designed for computational tasks, they're a generation apart and have various small differences that may be quite relevant for individual tasks (such as V100 allowing twice the shared memory - 96 KiB - per thread block)