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Priority access to HPC resources is available under a “condo “condo model,” where faculty are able to purchase semi-dedicated nodes which get made available to all users when their lab members are not using them.
Under the condo model, faculty researchers fund the capital equipment costs of individual compute nodes, while the university funds the operating costs of running these nodes for five years. Faculty who purchase compute nodes receive access to equivalent resources at a higher priority than other researchers.
To be clear, researchers are not purchasing consistent access to a specific physical node. They are purchasing access to a node’s worth of specific (but interchangeable) resources. The faculty can designate others to receive access at the same priority level, such then designate others—such as their graduate students, postdoctoral researchers, etc.—to receive priority access to those resources.
How will my lab members access our
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node(s)?
Priority users will be given a custom QoS to access to priority resources. We use QoSs to govern who can access priority resources (a.k.a. Trackable RESources, or TRes). Please note that priority users will not be given separate partitions.
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It varies depending on what you want. We have provided estimates below which are accurate as of February 2024.
| Warning |
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The given costs are ONLY estimates. Final costs are pursuant to a quote from the appropriate vendor. |
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CPU node (128 AMD Epyc cores)
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$17,000.00
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GPU node (64 AMD Epyc cores, 1x nVIDIA A100 gpu)
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$18,000.00
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GPU node (64 AMD Epyc cores, 3x nVIDIA A100 gpus)
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Service Type | Unit/Term | Unit Cost | Minimum Purchase |
Purchase (CPU) | 1 server/5 yrs | $18,000 (cpu) | 1 server |
Purchase (GPU)
| 1 server/5 yrs (1-3 GPU) | $14,500, plus $2500/GPU | 1 server, plus 1 GPU |
Rental (CPU) | 1 server/1 mo | $300 | 1 month/server |
Rental (GPU)
| 1 server/1 mo (1-3 GPU) | $242, plus $42/GPU | 1 month/ server/GPU |
This includes ITS infrastructure and licensing costs. Actual cost may differ and will depend on a formal quote from Dell.
The current hardware specifications are as follows:
CPU Node - Dell R6525 | GPU Node - Dell R7525 |
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2x 64-core AMD Epyc processors (128 cores) 512GB RAM 480GB SSD 25Gb/s Ethernet 200Gb/s InfiniBand (storage interconnect) | 2x 32-core AMD Epyc processors (64 cores) 512GB RAM 480GB SSD 25Gb/s Ethernet 200Gb/s InfiniBand (storage interconnect) 1x or 3x NVIDIA A100 GPU accelerator |
It is worth noting that the market supply of GPUs is currently low. Accordingly. Dell may need to substitute a different card in place of the A100.
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Interested faculty can get started by submitting a PI Equipment Request Form. Storrs HPC Admins will then request a quote from Dell. When the quote is ready, it will be forwarded to PIs for review.
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