Nexus/Vulcan/GPUs: Difference between revisions

From UMIACS
Jump to navigation Jump to search
(Redirected page to Nexus/GPUs)
Tag: New redirect
 
Line 1: Line 1:
There are several different types of NVIDIA GPUs in the [[Nexus/Vulcan | Vulcan]] partitions in the [[Nexus]] cluster, listed in order of newest to oldest architecture.
#REDIRECT [[Nexus/GPUs]]
 
=Quadro RTX A6000=
There are 36 RTX A6000 cards available to be scheduled in Vulcan.  These cards can be requested with the <code>--gres=gpu:rtxa6000</code> submission argument(s).
* Ampere architecture
* 10752 Cuda cores
* 48 GB GDDR6 Memory
* 40 TFLOPS (FP32)
 
=Quadro RTX A5000=
There are 40 RTX A5000 cards available to be scheduled in Vulcan.  These cards can be requested with the <code>--gres=gpu:rtxa5000</code> submission argument(s).
* Ampere architecture
* 8192 Cuda cores
* 24 GB GDDR6 Memory
* 27.8 TFLOPS (FP32)
 
=Quadro RTX A4000=
There are 56 RTX A4000 cards available to be scheduled in Vulcan.  These cards can be requested with the <code>--gres=gpu:rtxa4000</code> submission argument(s).
* Ampere architecture
* 6144 Cuda cores
* 16GB GDDR6 Memory
* 19.2 TFLOPS (FP32)
 
=GeForce RTX 2080 Ti=
There are 28 RTX 2080 Ti cards available to be scheduled in Vulcan.  These cards can be requested with the <code>--gres=gpu:rtx2080ti</code> submission argument(s).
* Turing architecture
* 4352 Cuda cores
* 11 GB GDDR5X Memory
* 13.45 TFLOPS (FP32)
 
=GeForce GTX 1080 Ti=
There are 128 GTX 1080 Ti cards available to be scheduled in Vulcan.  These cards can be requested with the <code>--gres=gpu:gtx1080ti</code> submission argument(s).
* Pascal architecture
* 3584 Cuda cores
* 11 GB GDDR5X Memory
* 11.3 TFLOPS (FP32)
 
=Quadro P6000=
There are 64 P6000 cards available to be scheduled in Vulcan.  These cards can be requested with the <code>--gres=gpu:p6000</code> submission argument(s).
* Pascal architecture
* 3840 Cuda cores
* 24 GB GDDR5X Memory
* 12 TFLOPS (FP32)
 
=Tesla P100=
There is one P100 card available to be scheduled in Vulcan.  This card can be requested with the <code>--gres=gpu:p100</code> submission argument(s).
* Pascal architecture
* 3584 Cuda cores
* 16GB CoWoS HBM2 Memory
* 9.3 TFLOPS (FP32)

Latest revision as of 19:10, 28 September 2023

Redirect to: