Man of Honour
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Holy Crap.
Tensor cores for mat-mat multiplication? 120TF/s throughput?! If it's practical to extract even a small fraction of this potential, then there are going to be a lot of people in the scientific computing field buying a V100.
I'm working on dense linear algebra right now, so I'm going to need to get my hands on one ASAP. Just need to figure out where best to go begging for the funds
I'm sure these won't make it to the G-Force range (minimal utility for gaming), but for a lot of HPC applications this could be a game-changer.
Good luck with raising $3Bn gonna be a few months before they are generally available to industry (and at normal industry prices) unless you have deep pockets.
Tensor cores for mat-mat multiplication? 120TF/s throughput?!
For particular types of matrix multiplication and accumulation that can leverage mixed precision floating point, the GV100 is stupidly fast. 10x faster than pascal. The main application will be in deep learning, the GV100 is basically accelerating neural network updates and propagation. This is why Nvidia have specially supported Google's Tensor Flow library.Would you care to explain this for numpties like me?
I'm sure these won't make it to the G-Force range (minimal utility for gaming), but for a lot of HPC applications this could be a game-changer.
That's why I can't understand why all the Gamers were getting excited about it, We're never going to see a GTX Gaming card with anything close to this, Are we?