Cloud HPC: Accelerating Healthcare Research
- Amazon Web Services (AWS) is providing healthcare researchers with on-demand high-performance computing (HPC) resources, significantly accelerating research timelines.
- One notable application of AWS HPC is in cardiovascular disease research.
- Setting up on-premises HPC clusters can be time-consuming, sometimes taking seven to eight months.
Unlock the potential of medical breakthroughs with AWS high-performance computing (HPC) resources, dramatically accelerating healthcare research timelines.News Directory 3 reports that AWS empowers researchers, slashing setup times from months to mere minutes, and fueling critical investigations like the NIH’s cardiovascular disease protein studies. Discover how scientists model low-density lipoprotein (LDL) particles, using AWS to gain unprecedented insights into receptor binding, offering hope for new therapies targeting heart disease, a leading global killer. Explore AWS Parallel Computing Service and ParallelCluster, providing flexible HPC solutions tailored to precise needs. Learn how cutting-edge technologies, from Amazon FSx to GPUs, are revolutionizing data processing and storage.Ready to see how cloud HPC will reshape medical finding? Discover what’s next for healthcare.
AWS HPC Resources Aid Healthcare, NIH Cardiovascular Research
Updated June 11, 2025
Amazon Web Services (AWS) is providing healthcare researchers with on-demand high-performance computing (HPC) resources, significantly accelerating research timelines. Instead of waiting months to set up traditional HPC clusters, researchers can now access the latest hardware almost instantly, according to AWS.
One notable application of AWS HPC is in cardiovascular disease research. Scientists at the National Institutes of Health (NIH) recently utilized AWS to model low-density lipoprotein (LDL) particles, a feat once considered impossible. This breakthrough provides a better understanding of how these particles bind to receptors, potentially leading to new therapies.
Setting up on-premises HPC clusters can be time-consuming, sometimes taking seven to eight months. By the time the hardware is procured and set up,it might be outdated.AWS offers solutions like AWS Parallel Computing Service, a managed service that allows researchers to create SLURM clusters tailored to their needs within minutes. Users can control compute nodes and run native or containerized apps. AWS ParallelCluster is another option, giving users full control over the SLURM scheduler for customized HPC clusters.
According to AWS, users only pay for the resources they consume. Researchers can choose from over 800 HPC instances and utilize resources like Amazon FSx for Lustre and Amazon File Cache to support their HPC goals.
Cardiovascular disease remains the leading cause of death worldwide, claiming 18.6 million lives in 2019.High LDL levels increase the risk of heart attack and stroke. NIH researchers used HPC and cryo-electron microscopy to model LDL particles, processing 17.5 terabytes of data from 35,000 movies. This allowed them to classify particles and gain insights into receptor binding.
“The only place we could do this was in the cloud,” said Marcotrigiano, noting NIH’s use of Amazon FSx for Lustre and GPUs for data processing and storage.
What’s next
The insights gained from HPC-driven research are expected to drive the growth of new therapies targeting LDL particles directly, potentially offering more effective treatments for cardiovascular disease.