for Life Science Discoveries
3 of the Top 6 Life Science Companies Use Rescale
Genomics analysis, drug discovery, medical devices, and many other life science applications require higher performance computing. Leveraging Rescale’s cloud platform and its advanced collaboration and data transfer tools, scientists can access the virtually unlimited resources required to perform advanced simulations.
Leading Cloud Computing Life Sciences Companies Benefit From Rescale
Multiphysics simulation is a key part of modern product development Accelerate innovation and time to market with Rescale.
With end-to-end encryption and the latest certifications, Rescale offers a secure environment for your data.
Full HPC Management
Rescale’s ScaleX Enterprise offers full management oversight and control of HPC resources, teams and budgets.
Featured Cloud Computing Life Sciences Customer: University of Kansas
Researchers of biotechnology at the University of Kansas with a focus on nanofluidics requires large computational resources to handle the massive amount of data needed for his nanowetting analyses. Using the open-source molecular dynamics software LAAMPS, researchers were able to:
Drastically reduce runtime from 4 days down to less than 12 hours
Receive quick technical support for simulation setup from Rescale’s anchor-expert technical team
Customize HPC resources to his specific molecular simulation needs
Resources for Cloud Computing Life Sciences Professionals
Life Sciences Data Sheet
Accelerating Life Science Breakthroughs
University of Kansas, Life Sciences Research
“Working with strong collaborators like Rescale and Microsoft, Bionano is driving further improvements in sample-to-answer times and costs to address our customers’ needs to run more samples and study more diseases. Our mission is to help improve clinical outcomes.”
Mark Oldakowski, COO Bionano
“We ran a few thousand test simulations and then scaled up to millions of test simulations running on Rescale. We were able to integrate proprietary code bases seamlessly, quickly identify errors within the scaling code, track each error down, and correct each error using Rescale much more quickly than we were able to run simulations on our own”
Mike Gahan, Senior Data Scientist Metabiota
“I was very impressed with the runtime performance. This massive productivity gain helped my research efforts tremendously.”
Kushal Sinha, Group Lead, Cross-Functional Model Forum, Process R&D