We are looking to use a TX2 as an introduction to CUDA and platforms like Keras for some magnetospheric research.
We’ve heard it’s roughly 2x faster than the TX1, or 3 times faster than the TK1, but they are all a similar price (after educational discounting).
Would it be more effective to get an inexpensive mini-ITX board (with an acceptable CPU) and attach a GTX 1050 Ti or similar? The Jetson has 256 Pascal cores and 8GB of RAM, but the 1050 has 768 cores and only 4GB of RAM. We would prefer the Jetson as it is compact.
What do you expect would be the difference in training time between the two setups? If the 1050Ti is less than 4x as fast then we see no real cost/performance advantage.