> It is strange that you expect to be able to buy the server grade GPUs for GeForce series prices Respectfully, you are clearly missing the point. You can buy <$500 USD Xeon Silver parts (and fairly affordable barebone workstation or servers to go with) and you'll get the Xeon-SP architecture to develop for. You can even buy the rebadged i9 parts too for ~$1000-$1200 with both FMA unit enabled, but admittedly those are also rather expensive.

> and are outraged when reality doesn't meet your expectations.

Untrue. I want an option, any option that allows researchers to develop for the fancy high-end chips -- especially when they claim that they want to and are providing such an option. Computational scientist and HPC researchers who aim to write code for, or porting community codes to machines like DOE Sierra, Summit or future V100-based machines need something that is within the reach of a junior PI, a researcher in countries less well off than the rich western Universities and research institutes.

In contrast, jack up the price this high means that the Facebook et. al will still find it worthwhile, but the grand majority of actual researchers, those that they claim to be enabling and helping with this card will not be able to afford it.

It all too easy to forget how the "democratization" of supercomputing was NVIDIA's slogan very ambitious and cool [1] that has over time turned into a marketing claim [2] that offers little in terms of bottom-up enabling the community.

[1] http://gpgpu.org/static/asplos2008/ASPLOS08-1-intro-overview... [2] http://assets.nvidia.com/nv/tesla/pdf/NVIDIA_Accelerate%20Yo...