I doubt the Beckoff computer is close to the Jetson Xavier AGX.
Read the specifications here.
https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-agx-xavier/
32 TOPS is a lot. That is tera operations. I doubt they are floating point units or they would have said TFOPS for tera floating point operations per second.
This is possible by using CUDA cores like what Nvidea uses on the graphics cards. 512 CUDA cores allow for parallel processing and the 64 Tensor cores allow using hardware for AI.
Over 10 years ago I was at a trade show in Atlanta, GA and saw this
https://deltamotion.com/peter/Videos/Daqota%20Scanner-desktop.mp4
At this time the engineers used the CUDA cores on multiple graphics cards in a PC and were limited by the number of slots to hold graphic cards in the PC.
This technology was used for optimizing veneer lathes. I used to write code and install veneer lathe scanner/optimizers in 1983-1985.
The CUDA cores also did some of the optimizing to find the best axis around which to rotate the log to get the longest and widest veneer sheets.
Back in 1983 I wrote a veneer optimizer using 32 bit integers on a CP/M machine.
I am going to experiment. Right now I can say I don't know what I don't know but I will find out. Have any of you heard me say anything like that before?
for me, language/syntax is irrelevant (they are all ugly, except ladder, of course
)
@drbitboy, I knew there was something wrong with you. C is the real deal and there is assembly language to do what C doesn't do well.
At home I have a GTX1080 in one of my computers it has 2560 CUDA cores. It is a chess playing monster. The CUDA cores also allow for faster video processing when using Handbrake.