The Biowulf supercomputer at the National Institutes of Health (NIH) received an upgrade with the addition of 144 NVIDIA GPUs to help researchers discover new cures and save lives.
According to CSRA, the system integrator and service company responsible for the installation: “The second stage of computing power announced today will enable NIH researchers to make important advances in biomedical fields. This field of research is deeply dependent on computation, such as whole-genome analysis of bacteria, simulation of pandemic spread, and analysis of human brain MRIs. Results from these analyses may enable new treatments for diseases including cancer, diabetes, heart conditions, infectious disease, and mental health.”
The upgrade includes 72 GPU nodes, with two NVIDIA Tesla GPUs per node, which adds to the existing 2,372-node cluster. This brings the GPU contribution alone to over 400 teraflops, and the upgraded cluster to 1.6 peak petaflops.
A large number of GPU-accelerated scientific applications are installed on the supercomputer, as well as an array of scientific databases.
Read more >
Major Upgrade to National Institutes of Health Supercomputer
Aug 03, 2017
Discuss (0)
Related resources
- GTC session: Advances in Accelerated Computing for AI and Scientific Computing (Spring 2023)
- GTC session: Accelerate Smart Healthcare with AI-Powered Infrastructures (Presented by QCT) (Spring 2023)
- GTC session: Next Generation AI Enabled Edge Systems Delivering Unparalleled Performance (Presented by Supermicro) (Spring 2023)
- Webinar: DGX A100 - The Universal AI System for Healthcare Workloads
- Webinar: Shortening Whole Genome Variant Analysis From Days to Minutes with Parabricks
- Webinar: Accelerating COVID-19 Research with NVIDIA DGX A100
About the Authors
