Platform R is the on-premise high-performance computing environment optimized for computationally intensive tasks such as simulations, scientific modeling, forecasting, big data analysis, and machine learning/AI which leverages vast, parallel computational power, large memory capacity, and efficient interconnection to achieve superior performance. This environment advances the mission of the School of Medicine & Public Health's bio-informatics/medical research and is designed to address HIPAA compliance (security and privacy protections) for these workloads. We've integrated familiar software (the same software used by CHTC's High Performance Computing Cluster) to make the transition much easier for researchers who are already on campus and are looking to use sensitive data in a secure environment.  

Researchers use Platform R for their high-computational needs:

• Platform R boasts extremely fast, shared resources.
  • Including, but not limited to:
    • 32-64 core CPUs.
    • 512GiB -1TiB, DDR5 4800 MT/s RAM.
    • 400 TiB+ fast, scratch storage (NVMe).
    • NVIDIA L40S, H100, H200's GPUs.
    • Extremely fast, redundant connection to Research Drive.
  • Running on Ubuntu 22.04 LTS.
  • Utilizes Slurm, Spack, and Ceph for job scheduling, execution, environment control and temporary storage.

Resources:

• Think Platform R is a good fit for your team? Submit a Platform R Request to meet with our team to discuss your needs: Platform R Request
• Have any additional questions? Submit a ticket here: Submit a Platform R Ticket