In recent years a significant expansion of research has taken place at Mount Sinai, including landmark discoveries for human health. Mount Sinai's robust computational and data science ecosystem and domain experts have played a crucial role enabling this enhanced research productivity.
I remember the excitement at the loading docks as our first supercomputer, Minerva, arrived in 2012. Since then, Mount Sinai has invested significantly in keeping our computational and data capabilities state-of-the art. In November 2024 we unveiled an updated version of Minerva with over 11 petaflops of compute power, making it one of the fastest supercomputers in the world (according to Top500). The NIH has also contributed to Mount Sinai's computational science and data infrastructure over the years through four awards totaling $8 million. The most recent grant, awarded in July 2025 for $2 million, will significantly expand Minerva’s AI resources by adding 48 state-of-the-art NVIDIA B200 graphics processing units (GPUs), providing nearly an exaflop of computational throughput for AI inference and training.
Our computational and data scientists are experts at the intersection of several scientific domains, and partner directly with researchers to efficiently and effectively leverage our ecosystem. Their expertise, along with our computational and data capacity and capability is one of the reasons why Mount Sinai is such a great place to advance science.
With the advent of Minerva, researchers were quick to see its potential and integrate it into their workflow. Together, we were able to conceive more ambitious projects and craft more complex simulations in the fields of genomics, psychiatry, oncology, and many others. To date, we supported over $140 million per year in research funded by the National Institutes of Health.
We thrive on the exchange of information and experiences. We invite you to talk to us and see how we can assist you in your next discoveries.
Patricia Kovatch
System Chief, Artificial Intelligence (AI) Computing and Data