Quorra - NVIDIA Ampere GPUs

Acknowledgments

Quorra1 is also funded via GT’s Techfee program, so usage for this server is reserved for coursework (when requested by instructors or students). Please read more about Techfee hardware on this page

Current Status

BUGS / Feature Requests

  • N/A

System Specifications

Queues Node Name CPU Memory (GB) Network Cards Notes
rg-gpu quorra1 2x AMD EPYC 7502 (Rome) 256 GB DDR4, 3200 MHz, 16 GB DIMMs Connect-X 5 (MT27800), 100 GE; Bluefield-2 DPU (MT42822) 4x A30; 1x A100  
rg-gpu quorra2 2x AMD EPYC 7502 (Rome) 256 GB DDR4, 3200 MHz, 16 GB DIMMs Connect-X 5 (MT27800), 100 GE; Bluefield-2 DPU (MT42822) 4x A30  

Software and Tools

Distro Kernel Standard Compilers Other Compilers MPI Miscellaneous
Ubuntu 20.04 5.4.0 GCC 7.5 `CUDA 11.5 <>`__, CUDA 10.2   DOCA 1.4.0079

How do I get to Quorra?

As with most CRNCH resources, you need to either log in via the gateway node, rg-login, or access the system from the campus network via VPN or an on-campus connection.

To request an allocation on Quorra using slurm:

//Request an allocation of 1 hr, partition rg-gpu, and specify the node name for the server with -w
salloc -t 1:00:00 -p rg-gpu -w quorra2
//SSH to the resource
ssh quorra2

Useful training material

TBD

Vendor-provided Documents and Resources