NVIDIA POWER! :)

http://www.nvidia.com/object/deep-learning-system.html

mann!! that's so so dangerous. I felt inferior for fraction of a second there...

GPUs 8x Tesla GP100
TFLOPS (GPU FP16 /CPU FP32) 170/3
GPU Memory 16 GB per GPU
CPU Dual 20-core Intel® Xeon®
E5-2698 v4 2.2 GHz
NVIDIA CUDA® Cores 28672
Maximum Power Requirements 3200W

Price $129,000

Yes please

This hardware for a very different kind of tasks/computations.
Performance is specified for a half or single precision, while in our case we used double precision.
So it's not so cool.

GPUGRID uses single precision and the GeForce range is financially realistic, unlike the Tesla's and Quadro's. The Titan's are a cross between the high end GeForce and Quadro's/Tesla's and are really intended for flag wavers.

8 GTX1080's dropped into 2 high end gaming/crunching systems would cost just under $10K and would get the same credit here as the above $129K Tesla system; the GTX1080's actually boost to over 2GHz making their actual boost single precision GFlops 10TF each - the same as a GP102 (slightly better than P100's).

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FAQ's

HOW TO:
- Opt out of Beta Tests
- Ask for Help

I apologize for my misconception.
For some reason, thought that it uses double precision.