NCSA Delta GPU (Delta GPU)
Resource Type
Latest Status

The Delta GPU resource comprises 4 different node configurations intended to support accelerated computation across a broad range of domains such as soft-matter physics, molecular dynamics, replica-exchange molecular dynamics, machine learning, deep learning, natural language processing, textual analysis, visualization, ray tracing, and accelerated analysis of very large in-memory datasets. Delta is designed to support the transition of applications from CPU-only to using the GPU or hybrid CPU-GPU models. Delta GPU resource capacity is predominately provided by 200 single-socket nodes, each configured with 1 AMD EPYC 7763 (“Milan”) processors with 64-cores/socket (64-cores/node) at 2.55GHz and 256GB of DDR4-3200 RAM. Half of these single-socket GPU nodes (100 nodes) are configured with 4 NVIDIA A100 GPUs with 40GB HBM2 RAM and NVLink (400 total A100 GPUs); the remaining half (100 nodes) are configured with 4 NVIDIA A40 GPUs with 48GB GDDR6 RAM and PCIe 4.0 (400 total A40 GPUs). Rounding out the GPU resource is 6 additional “dense” GPU nodes, containing 8 GPUs each, in a dual-socket CPU configuration (128-cores per node) and 2TB of DDR4-3200 RAM but otherwise configured similarly to the single-socket GPU nodes. Within the “dense” GPU nodes, 5 nodes employ NVIDIA A100 GPUs (40 total A100 GPUs in “dense” configuration) and 1 node employs AMD MI100 GPUs (8 total MI100 GPUs) with 32GB HBM2 RAM. A 1.6TB, NVMe solid-state disk is available for use as local scratch space during job execution on each GPU node type. All Delta GPU compute nodes are interconnected to each other and to the Delta storage resource by a 100 Gb/sec HPE Slingshot network fabric.

Is an ACCESS Allocated Production Compute resource
Is a Science Gateway integrated into ACCESS and able to use ACCESS allocated resources
Resource supports allocated user advanced reservations
Resource supports community software areas for users to share software with other users
Resource is attached to the ACCESS CONECTnet network
Resource supports visualization
Resource supports community accounts for science gateways
Resource support community software areas for science gateways to share software on a resource
Resource supports virtual hosting of science gateway web interface
GPU use is the main purpose of this resource
General compute use
Resource is allocated by ACCESS
Specialized analysis nodes with large memory
has advance reservations
Support for Science Gateways
An intuitive, innovative, and interactive interface to remote computing resources
Resource offers discounted job queues where running jobs can be preempted
Agency supercomputers and advanced architecture systems
Organization Name
National Center for Supercomputing Applications
Global Resource ID