GPU-Development-Cluster
Cluster Software
Software for Users
About the Cluster:
This cluster is partly founded by Styrian Government (ZUKUNFTSFONDS STEIERMARK) – Research Infrastructure at Styrian Universities for the aiMotionLab. Its primary purpose is to offer an environment comparable to high-performance computing (HPC) clusters, specifically designed for software development and testing. This allows developers to ensure their software can be seamlessly deployed on HPC systems with minimal or no modifications. Furthermore, full control over all components of the cluster enables customized configurations tailored to the specific needs of users.Users:
- TU-Graz
- FH Joanneum
- Montanuniversität Leoben
Compute Nodes:
aim-gpu1 | aim-gpu2 |
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CPU: 2x Intel(R) Xeon(R) CPU E5-2690 v4 @ 2.60GHz (Boost 3.50GHz) RAM: 256GB GPU: 8 x NVIDIA GeForce RTX 2080 Ti, 11GB Network: 2x10GBit, 1x1GBit SLURM: 2x14 core, 1 core/GPU, 8GB RAM/core –gres=gpu:nvidia_geforce_rtx_2080_ti:8 |
CPU: 2x Intel(R) Xeon(R) CPU E5-2690 v4 @ 2.60GHz (Boost 3.50GHz) RAM: 256GB GPU: 1 x NVIDIA GeForce RTX 2080 Ti, 11GB GPU: 3 x Tesla V100-PCIE-16GB, 16GB Network: 2x10GBit, 1x1GBit SLURM: 2x14 core, 2 core/GPU, 8GB RAM/core –gres=gpu:nvidia_geforce_rtx_2080_ti:1 –gres=gpu:tesla_v100-pcie-16gb:3 |
aim-gpu3 | aim-gpu4 |
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CPU: 2x Intel(R) Xeon(R) CPU E5-2697 v3 @ 2.60GHz (Boost 3.60GHz) RAM: 256GB GPU: 6 x NVIDIA RTX A4000, 16GB Network: 2x10GBit, 1x1GBit SLURM: 2x14 core, 2 core/GPU, 8GB RAM/core –gres=gpu:nvidia_rtx_a4000:6 |
CPU: 2x Intel(R) Xeon(R) CPU E5-2697 v3 @ 2.60GHz (Boost 3.60GHz) RAM: 256GB GPU: 6 x NVIDIA RTX A4000, 16GB Network: 2x10GBit, 1x1GBit SLURM: 2x14 core, 2 core/GPU, 8GB RAM/core –gres=gpu:nvidia_rtx_a4000:6 |
aim-gpu5 | aim-gpu6 |
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CPU: 2x Intel(R) Xeon(R) Gold 6132 CPU @ 2.60GHz (Boost 3.70GHz) RAM: 384GB GPU: 2 x NVIDIA GeForce RTX 2080 Ti, 11GB Network: 2x25GBit, 1x1GBit SLURM: 2x14 core, 2 core/GPU, 12GB RAM/core –gres=gpu:nvidia_geforce_rtx_2080_ti:2 |
CPU: 2x AMD EPYC 7542 32-Core Processor @ 2.9GHz (Boost 3.4GHz) RAM: 1024GB GPU: 8 x NVIDIA GeForce RTX 2080 Ti, 11GB Network: 2x25GBit, 1x1GBit SLURM: 2x30 core, 2 core/GPU, 16GB RAM/core –gres=gpu:nvidia_geforce_rtx_2080_ti:8 |