DokuWiki

User Tools

Site Tools

Trace:
cluster:181

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Next revision 		Previous revision
Next revision Both sides next revision
cluster:181 [2019/07/30 13:52]
hmeij07 created 		cluster:181 [2019/07/31 12:43]
hmeij07
Line 4: Line 4:
 ===== 2019 GPU Models ===== ===== 2019 GPU Models =====
  
 +We do not do AI (yet).  The pattern is mostly one job per GPU for exclusive access.  So no NVlink requirements, CPI connections sufficient.  The application list is Amber, Gromacs, Lammps and some python biosequencing packages. Our current per GPU memory footprint is 8 GB which seems sufficient.
  
 +^         ^  Quadro  ^^^^^  Tesla  ^^    ^
 +^  Model  ^  RTX 2080 Ti  ^  RTX TITAN  ^  RTX 4000  ^  RTX 6000  ^  RTX 8000  ^  P100  ^  V100  ^  Notes  ^
 +|  Cores  |  4352  |  4608  |  2304  |  4608  |  4608  |  3584  |  5120  |parallel cuda|
 +| Memory  |  11  |  24  |  8  |  24  |  46  |  12  |  32  |GB ddr6|
 +|  Watts  |  250  |  280  |  250  |  295  |  295  |  250  |  250  |    |
 +|  Tflops  |  -  |  0.5  |  -  |  0.5  |  -  |  4.7  |  7  |double fp64|
 +|  Tflops  |  13.5  |  16  |  7  |  16  |  16  |  9.3  |  14  |single fp32|
 +|  Avg Bench  |  197%  |  215%  |  120%  |  207%  |  219%  |  120%  |  150%  |user bench reporting|
 +|  Price  |  $1,199  |  $2,499  |  $900  |    $4,000  |  $5,500  |  $4,250  |  $9,538  |list price|
 +|  $/fp32  |  $89  |  $156  |  $129  |  $250  |  $344  |  $457  |  $681  |    |
 +|  Notes  |  small scale  |  medium scale  |  small scale |  medium scale  |  large scale  |  versatile but EOL |  most advanced  |    |
 +|  FP64?  |  -  |  some  |  -  |  some  |  -  |  yes  |  yes  |double fp64|
  
 A lot of information comes from this web site [[https://blog.exxactcorp.com/whats-the-best-gpu-for-deep-learning-rtx-2080-ti-vs-titan-rtx-vs-rtx-8000-vs-rtx-6000/|Best GPU for deep learning]] A lot of information comes from this web site [[https://blog.exxactcorp.com/whats-the-best-gpu-for-deep-learning-rtx-2080-ti-vs-titan-rtx-vs-rtx-8000-vs-rtx-6000/|Best GPU for deep learning]]
 +
 +Bench statistics (Nidia GTX 1070 is about 100% baseline) from this web site [[https://gpu.userbenchmark.com/Faq/What-is-the-effective-GPU-speed-index/82|External Link]]
 +
 +Most GPU models come in multiple memory configurations, showing the most common footprints.
  
  
 \\ \\
 **[[cluster:0|Back]]** **[[cluster:0|Back]]**
cluster/181.txt ยท Last modified: 2019/08/13 12:15 by hmeij07

Page Tools

Except where otherwise noted, content on this wiki is licensed under the following license: CC Attribution-Share Alike 4.0 International
CC Attribution-Share Alike 4.0 International Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki