|
|
| (One intermediate revision by the same user not shown) |
| 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
| |
| * 16 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)
| |