Delta

Funded by the National Science Foundation’s Innovative High-Performance Computing Program, Delta is the largest x86 based GPU computing resource in NSF’s portfolio, making it a prime destination for advanced scientific research.

Primary use cases:

• NVIDIA GPUs for your accelerated code or AI/ML application
• Large memory demands for a shared-memory application, such as in-memory databases and more.
• Suitable for a CPU/GPU workload. 
• Good for getting started, small scale workloads, and high-throughput workloads.

Technical Specifications:

• 124 CPU nodes, 100 quad A100 (40GB) nodes, 100 quad A40 nodes, 6 8-way A100 (40G) GPU nodes, 8 8-way H200 (141GB) GPU nodes, 1 8-way AMD MI100 GPU node.
• 200 Gb/s HPE SlingShot network fabric
• Two Lustre file systems (based on HDD and NVME, respectively) shared with Delta to support both block and small file IO.
• Access to project space on the “Taiga” Lustre-based center-wide project file system
• Home directories provisioned on the “Harbor” VAST-based center-wide home directory system
• More information about Delta’s hardware and network is available here.

More information:

Delta lets users adapt research applications to take advantage of its key features. Researchers who currently have GPU projects or are considering migrating to GPU architectures will find ready assistance in migrating the work to Delta! To apply for a Delta allocation, please visit the Delta allocations page.