Nexus/GPUs: Difference between revisions

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{| class="wikitable sortable"
{| class="wikitable sortable"
! Name
! Name
! GRES string (Slurm)
! [https://www.nvidia.com/en-us/technologies Architecture]
! [https://www.nvidia.com/en-us/technologies Architecture]
! [https://developer.nvidia.com/cuda-toolkit CUDA] Cores
! [https://developer.nvidia.com/cuda-toolkit CUDA] Cores
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! FP32 Performance (TFLOPS)
! FP32 Performance (TFLOPS)
! [https://developer.nvidia.com/blog/accelerating-ai-training-with-tf32-tensor-cores/ TF32] Performance ([https://developer.nvidia.com/blog/accelerating-inference-with-sparsity-using-ampere-and-tensorrt Dense / Sparse TOPS])
! [https://developer.nvidia.com/blog/accelerating-ai-training-with-tf32-tensor-cores/ TF32] Performance ([https://developer.nvidia.com/blog/accelerating-inference-with-sparsity-using-ampere-and-tensorrt Dense / Sparse TOPS])
|-
| RTX 6000 Ada Generation
| <code>rtx6000ada</code>
| Ada Lovelace
| 18176
| 48GB GDDR6
| 960GB/s
| 91.1
| 182.1/364.2
|-
|-
| A100 (80GB)
| A100 (80GB)
| <code>a100</code>
| Ampere
| Ampere
| 6912
| 6912
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|-
|-
| GeForce RTX 3070
| GeForce RTX 3070
| <code>rtx3070</code>
| Ampere
| Ampere
| 5888
| 5888
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|-
|-
| GeForce RTX 3090
| GeForce RTX 3090
| <code>rtx3090</code>
| Ampere
| Ampere
| 10496
| 10496
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|-
|-
| RTX A4000
| RTX A4000
| <code>rtxa4000</code>
| Ampere
| Ampere
| 6144
| 6144
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|-
|-
| RTX A5000
| RTX A5000
| <code>rtxa5000</code>
| Ampere
| Ampere
| 8192
| 8192
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|-
|-
| RTX A6000
| RTX A6000
| <code>rtxa6000</code>
| Ampere
| Ampere
| 10752
| 10752
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|-
|-
| GeForce RTX 2080 Ti
| GeForce RTX 2080 Ti
| <code>rtx2080ti</code>
| Turing
| Turing
| 4352
| 4352
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|-
|-
| GeForce GTX 1080 Ti
| GeForce GTX 1080 Ti
| <code>gtx1080ti</code>
| Pascal
| Pascal
| 3584
| 3584
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|-
|-
| Quadro P6000
| Quadro P6000
| <code>p6000</code>
| Pascal
| Pascal
| 3840
| 3840
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|-
|-
| Tesla P100
| Tesla P100
| <code>p100</code>
| Pascal
| Pascal
| 3584
| 3584
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|-
|-
| TITAN X (Pascal)
| TITAN X (Pascal)
| <code>titanxpascal</code>
| Pascal
| Pascal
| 3584
| 3584
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|-
|-
| TITAN Xp
| TITAN Xp
| <code>titanxp</code>
| Pascal
| Pascal
| 3840
| 3840
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|-
|-
| GeForce GTX TITAN X
| GeForce GTX TITAN X
| <code>gtxtitanx</code>
| Maxwell
| Maxwell
| 3072
| 3072

Revision as of 20:11, 19 April 2024

There are several different types of NVIDIA GPUs in the Nexus cluster that are available to be scheduled. They are listed below in order of newest to oldest architecture, and then alphabetically.

We do not list the exact quantities of GPU here since they change frequently due to additions to or removals from the cluster or during compute node troubleshooting. To see which compute nodes have which GPUs and in what quantities, use the show_nodes command on a submission or compute node. The quantities are listed under the GRES column.

Name GRES string (Slurm) Architecture CUDA Cores GPU Memory Memory Bandwidth FP32 Performance (TFLOPS) TF32 Performance (Dense / Sparse TOPS)
RTX 6000 Ada Generation rtx6000ada Ada Lovelace 18176 48GB GDDR6 960GB/s 91.1 182.1/364.2
A100 (80GB) a100 Ampere 6912 80GB HBM2e 1935GB/s 19.5 156/312
GeForce RTX 3070 rtx3070 Ampere 5888 8GB GDDR6 448GB/s 20.3 20.3/40.6
GeForce RTX 3090 rtx3090 Ampere 10496 24GB GDDR6X 936GB/s 35.6 35.6/71
RTX A4000 rtxa4000 Ampere 6144 16GB GDDR6 448GB/s 19.2 not officially published
RTX A5000 rtxa5000 Ampere 8192 24GB GDDR6 768GB/s 27.8 not officially published
RTX A6000 rtxa6000 Ampere 10752 48GB GDDR6 768GB/s 38.7 77.4/154.8
GeForce RTX 2080 Ti rtx2080ti Turing 4352 11GB GDDR5X 616GB/s 13.4 n/a
GeForce GTX 1080 Ti gtx1080ti Pascal 3584 11GB GDDR5X 484GB/s 11.3 n/a
Quadro P6000 p6000 Pascal 3840 24GB GDDR5X 432GB/s 12.6 n/a
Tesla P100 p100 Pascal 3584 16GB CoWoS HBM2 732GB/s 9.3 n/a
TITAN X (Pascal) titanxpascal Pascal 3584 12GB GDDR5X 480GB/s 11.0 n/a
TITAN Xp titanxp Pascal 3840 12GB GDDR5X 548GB/s 12.1 n/a
GeForce GTX TITAN X gtxtitanx Maxwell 3072 12GB GDDR5 336GB/s 6.7 n/a