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DELTA

gpu

DELTA is a dedicated, ACCESS-allocated resource designed by HPE and NCSA, delivering a highly capable GPU-focused compute environment for GPU and CPU workloads. Besides offering a mix of standard and reduced-precision GPU resources, DELTA offers GPU-dense nodes with both NVIDIA and AMD GPUs, with high-performance node-local SSD scratch filesystems and both standard Lustre and relaxed-POSIX parallel filesystems (docs pending) spanning the entire resource.

DELTA's standard CPU nodes are each powered by two 64-core AMD EPYC 7763 ("Milan") processors, with 256 GB of DDR4 memory. The DELTA GPU resource has four node types: one with 4 NVIDIA A100 GPUs (40 GB HBM2 RAM each) connected via NVLINK and 1 64-core AMD EPYC 7763 ("Milan") processor, the second with 4 NVIDIA A40 GPUs (48 GB GDDR6 RAM) connected via PCIe 4.0 and 1 64-core AMD EPYC 7763 ("Milan") processor, the third with 8 NVIDIA A100 GPUs in a dual socket AMD EPYC 7763 ("Milan") (128-cores per node) node with 2 TB of DDR4 RAM and NVLINK, and the fourth with 8 AMD MI100 GPUs (32GB HBM2 RAM each) in a dual socket AMD EPYC 7763 ("Milan") (128-cores per node) node with 2 TB of DDR4 RAM and PCIe 4.0.

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Bruno Abreu
mentorresearcher/educatorrsercf
Abdulrahman Alkurdi
researcher/educator
University of Illinois at Urbana-Champaign
ADITYA BALU
Campus Champions
Iowa State University
Gregory Bauer
rcf
University of Illinois
Robert Brunner
University of Illinois at Urbana-Champaign
Gerald Byrket
Ohio Supercomputer Center
Roland Haas
rse
University of Illinois Urbana-Champaign