Cluster Hardware

GPU Resources:

GPU	CUDA Cores	Tensor Cores	RT Cores	VRAM	Hosts
16 A6000s	10752	336	84	48GB	compsci-cluster-fitz-[05-08]
20 RTX 6000 Pros	24064	752	188	96GB	compsci-cluster-fitz-[45-49]
5 RTX 5000 ADAs	12800	400	100	32GB	linux[51-55]
124 a5000s	8192	256	64	24GB	linux[41-44], compsci-cluster-fitz-[01-04,09-34]
10 V100s	5120	640		32GB	gpu-compute[5-7]
26 P100s	3584			12GB	linux[41-50] gpu-compute[4-5]
30 2080RTXTi	4352			11GB	linux[41-60]

CPU resources

20x TensorEX TS2-197278655 with 2 Intel Xeon Ice Lake Gold 5317 Processors, 3.0GHz 18MB Cache (768GB RAM - 12 cores) Each of the machines has 4 Nvidia RTX A5000s

• compsci-cluster-fitz-01 - compsci-cluster-fitz-04, compsci-cluster-fitz-09 - compsci-cluster-fitz-21

4x TensorEX TS2-197278655 with 2 Intel Xeon Ice Lake Gold 5317 Processors, 3.0GHz 18MB Cache (768GB RAM - 12 cores) Each of the machines has 4 Nvidia RTX A6000s

• compsci-cluster-fitz-05 - compsci-cluster-fitz-08

10x TensorEX TS2-197278655 with 2 Intel(R) Xeon(R) Gold 6346 CPU Processors, @ 3.10GHz 18MB Cache (1TB RAM - 16 cores) Each of the machines has 4 Nvidia RTX A5000s

• compsci-cluster-fitz-24 - compsci-cluster-fitz-34

10x Exxact TS4-130227231 with AMD EPYC 9554 64-Core Processor (1TB RAM - 64 cores, 128 threads)

• compsci-cluster-fitz-35 - compsci-cluster-fitz-44

5x Exxact TS4-130227231 with AMD EPYC 9554 64-Core Processor (1.1TB RAM - 64 cores, 128 threads) Each of the machines has 4 Nvidia RTX 6000 Pros

• compsci-cluster-fitz-45 - compsci-cluster-fitz-49

10x TensorEX TS2-673917-DPN Intel Xeon Gold 6226 Processor, 2.7Ghz (768GB RAM 48 cores). Each of the machines has 2 Nvidia GeForce 2080 RTX Tis.

• linux51 - linux60

10x Tensor TXR231-1000R D126 Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40GHz (512GB RAM - 40 cores). Each of the machines has 2 Nvidia Tesla P100s, and 1 Nvidia GeForce 2080 RTX Tis. Linux 41-44 each have one A5000.

• linux41 - 50

4x Quantum TXR113-1000R Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40GHz (256GB RAM - 40 cores) with 10GB interconnects. Each of the machines has Nvidia Tesla P100s or V100s.

• gpu-compute4 (4x P100s)
• gpu-compute5 (2x P100s, 2x V100s)
• gpu-compute6 (4x V100s)
• gpu-compute7 (4x V100s)

2x Dell R610 with 2x E5540 Xeon Processor, 2.53GHz 8M Cache (96GB RAM - 16 cores)

• linux29.cs.duke.edu - linux30

10x Dell R730 with 2 Intel Xeon E5-2640 v4 2.4GHz,25M Cache (256GB RAM - 40 cores)

• linux31 - linux40

10x Dell R610 with 2 E5640 Xeon Processor, 2.66GHz 12M Cache (64GB RAM - 16 cores)

• linux1 - linux10

10x Dell R620 with 2 Xeon(R) CPU E5-2695 v2 @ 2.40GHz 30M Cache (256GB RAM - 48 hyperthreaded cores)

• linux11 - linux20

8x Dell R610 with 2 E5540 Xeon Processor, 2.53GHz 8M Cache (48GB RAM - 16 cores)

• linux21 - linux27

Note

Please be aware that compute cluster machines are not backed up. Users should copy any important data to filesystems that are backed up to avoid losing data. In addition, try to be cognizant that this is a shared resource. Please minimize the network traffic for shared resources like disk space. If you need to read and write lots of data, please copy that to local disks, compute the results, and store the results on longer term storage.