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Please show me where can you buy a $800 card that can be used to develop for the _compute_ architectures; i.e. the GV100 or the GP100 for that matter. Also, pl

Please show me where can you buy a $800 card that can be used to develop for the _compute_ architectures; i.e. the GV100 or the GP100 for that matter. Also, please show me how can you use those $800 cards for serious computing/research without potentially running into silly issues and a lot of pain (from not being able to use the "supported" standard OpenCL to running into cooling, fan speed, clocking issues that makes reliable perf tuning a pain, etc.).

andars 9y ago
It is strange that you expect to be able to buy the server grade GPUs for GeForce series prices and are outraged when reality doesn't meet your expectations. It strikes me as pretty awesome that the V100 is now available for only $3k in the Titan V, rather than ~$10k for the Tesla V100. I reckon you need to readjust your expectations.
- slizard 9y ago
  > 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.pdf http://gpgpu.org/static/asplos2008/ASPLOS08-1-intro-overview... [2] http://assets.nvidia.com/nv/tesla/pdf/NVIDIA_Accelerate%20Your%20Datacenter%20with%20Tesla%20P100_Whitepaper_Dec2016.pdf http://assets.nvidia.com/nv/tesla/pdf/NVIDIA_Accelerate%20Yo...
  - robotresearcher 9y ago
    $3k is within reach for most labs. It’s lot of money for an individual. But a PhD researcher’s annual salary is probably more than 35 times that amount in a coastal city. An ML researcher could easily be 200 times that amount. A new assistant professor at a medium sized school in North America can afford a few of these. This is a cheap bit of equipment for a professional researcher. It’s an expensive bit of equipment for an independent researcher or student, or someone in a poorer part of the world. But why would anyone expect the best kit for hobby prices?
    - slizard 9y ago
      I'm saddened by the arrogance you display. Does your definition of "world" really not go beyond the "coastal cities" and "North America"? Are you seriously assuming there are no ML researchers outside of the cozy little world you're referring to? People in the Middle-East, Balkans, South-Asia, etc. should not worry about "high-end kit", they should stick to "hobby" stuff? (In case if this all leaves you baffled, e.g. assistant professors will often earn 2-4 TITAN V's worth of money per year in places like Eastern Europe -- and that's still on the map of the "Western world" by most definitions.) > It’s an expensive bit of equipment for an independent researcher or student, or someone in a poorer part of the world. Allow me to correct you: that is _much_ (if not most) of the world. > But why would anyone expect the best kit for hobby prices? Strawmen. Please read my point again (and see the concrete examples of affordable "kit" that can be used to target the high-end HPC iron).
      - robotresearcher 9y ago
        Excellent equipment for cheap would be great. I hope you get your wish as soon as possible.

andars 9y ago

It is strange that you expect to be able to buy the server grade GPUs for GeForce series prices and are outraged when reality doesn't meet your expectations. It strikes me as pretty awesome that the V100 is now available for only $3k in the Titan V, rather than ~$10k for the Tesla V100. I reckon you need to readjust your expectations.

slizard 9y ago
> 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.pdf http://gpgpu.org/static/asplos2008/ASPLOS08-1-intro-overview... [2] http://assets.nvidia.com/nv/tesla/pdf/NVIDIA_Accelerate%20Your%20Datacenter%20with%20Tesla%20P100_Whitepaper_Dec2016.pdf http://assets.nvidia.com/nv/tesla/pdf/NVIDIA_Accelerate%20Yo...
- robotresearcher 9y ago
  $3k is within reach for most labs. It’s lot of money for an individual. But a PhD researcher’s annual salary is probably more than 35 times that amount in a coastal city. An ML researcher could easily be 200 times that amount. A new assistant professor at a medium sized school in North America can afford a few of these. This is a cheap bit of equipment for a professional researcher. It’s an expensive bit of equipment for an independent researcher or student, or someone in a poorer part of the world. But why would anyone expect the best kit for hobby prices?
  - slizard 9y ago
    I'm saddened by the arrogance you display. Does your definition of "world" really not go beyond the "coastal cities" and "North America"? Are you seriously assuming there are no ML researchers outside of the cozy little world you're referring to? People in the Middle-East, Balkans, South-Asia, etc. should not worry about "high-end kit", they should stick to "hobby" stuff? (In case if this all leaves you baffled, e.g. assistant professors will often earn 2-4 TITAN V's worth of money per year in places like Eastern Europe -- and that's still on the map of the "Western world" by most definitions.) > It’s an expensive bit of equipment for an independent researcher or student, or someone in a poorer part of the world. Allow me to correct you: that is _much_ (if not most) of the world. > But why would anyone expect the best kit for hobby prices? Strawmen. Please read my point again (and see the concrete examples of affordable "kit" that can be used to target the high-end HPC iron).
    - robotresearcher 9y ago
      Excellent equipment for cheap would be great. I hope you get your wish as soon as possible.