Funded by the National Science Foundation, DeltaAI has been designed to maximize the output of Artificial Intelligence and Machine Learning (AI/ML) research. Using state-of-the-art hardware, DeltaAI enables scientists and researchers to address the world’s most challenging problems by accelerating complex AI/ML and high-performance computing applications running terabytes of data.
Primary use cases:
- Scalable accelerated computing from one GPU to hundreds of GPUs
- Problems requiring large memory GPUs (96GB per GPU)
- AI/ML workloads
- Scalable GPU accelerated simulation applications
Technical Specifications:
- 608 GH200 NVIDIA Superchips including H100 (96GB) GPUs
- 200 Gb/s HPE SlingShot network fabric, with one network card per GPU.
- 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 DeltaAI hardware and network is available here.
More information:
DeltaAI might be right for you if you need access to advanced NVIDIA Grace Hopper GPUs for your accelerated code, or if you’re applying AI/ML methods in your research and need the compute resources to make it happen. To apply for a DeltaAI allocation, please visit the DeltaAI allocations page.
Help Desk is available from 7 a.m. to 11:30 p.m., seven days a week, 365 days a year.