Our mission is to accelerate scientific discovery at Mount Sinai by providing researchers with scalable high performance computational and data infrastructure. Use the Minerva Supercomputer to perform large computing jobs and run large applications to advance your science.
Accelerating Discoveries for Researchers
Minerva enables researchers to ask and answer new scientific questions. The Minerva Supercomputer is now an essential part of over 2,000 workflows and accelerates progress to expand our field of biomedical knowledge. This has translated into new understanding and new therapies for a wide spectrum of disease categories including autism, cancer progression, insulin resistance in diabetics, cardiac care, and psychiatry, to name but a few. Minerva is utilized for over $142 million in funding from the National Institute of Health.
Minerva Supercomputer
Named for the Roman goddess of wisdom and medicine, Minerva was introduced at the Icahn School of Medicine in 2012, and has been upgraded several times, most recently in Nov. 2024. Minerva has over 11 petaflops of compute power and utilizes 24,192 Intel Platinum processors in different generations including 2.3GHz, 2.6 GHz, and 2.9 GHz compute cores (96 cores or 64 cores or 48 cores per node with two sockets in each node) with 1.5 terabytes (TB) of memory per node. In addition, Minerva also has 356 graphics processing units (GPUs), including 236 H100 Nvidia GPUs, 32 L40S Nvidia servers, 40 A100 Nvidia GPUs, 48V100 Nvidia GPUs, 440 TB of total memory, 40 petabytes of spinning storage accessed via IBM’s Spectrum Scale/General Parallel File System (GPFS). Minerva has contributed to over 1,900 peer-reviewed publications since 2012. Minerva cluster design is driven by the research demand performed by Minerva users (i.e. the number of nodes, the amount of memory per node, and the amount of disk space for storage).
Access to Minerva is open to all at the Mount Sinai Health System. Read our quick start guide to access Minerva, and request an account to begin computing.
Minerva: Optimized for Researchers
Through continual refinement and optimization, we continue to create a computational and data ecosystem that is responsive, reliable, and efficient. We gather valuable input through our regular Minerva Town Halls, our Scientific Advisory Board, 1:1 meetings and training sessions. Through the process of benchmarking the system and engaging in dialogue with our users, Minerva is finely tuned to the needs of research workflows.