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Azure high-performance computing for health and life sciences

Accelerate insights in genomic analysis, precision medicine, medical imaging, and clinical trials with near-infinite high-performance bioinformatics infrastructure.

Gain deeper insights from medical data by deploying analytics and machine learning tools on top of clinical trial simulation data.

Health and life sciences HPC scenarios

Unleash the next generation of healthcare breakthroughs with genomic analysis, precision medicine, medical imaging and clinical trial simulations. Learn more about how health customers are transforming with the cloud at Azure for healthcare.

Genomic analysis

Overcome the challenges of scale, collaboration, and compliance—while minimizing cost and complexity—by using Azure for genomic analysis and computation. Take advantage of industry-leading privacy, local compliance, and performance capabilities.

Molecular dynamics

Increase the accuracy of mathematical formulas used in simulated atom and particle movement analysis with vast compute resources from Azure—the first public cloud to scale a molecular dynamics code, CP2K, to 20,000 cores.

Proteomics scientists use Azure to do the heavy lifting of sharing peptide data.

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Clinical trial simulation

Improve the efficiency of drug development process with power and scale for computationally intensive stochastic modeling and simulation workloads, such as population pharmacokinetic and pharmacokinetic-pharmacodynamic modeling.

Medical imaging

Gain deeper insights from all of your medical imaging data with big data analytics and machine learning capabilities from Azure.

Powerful infrastructure as a service (IaaS) for health and life sciences

  • Create, manage, operate, and optimize high-performance computing (HPC) and big compute clusters using tools of your choice, such as Platform Load Sharing Facility (LSF), with Azure CycleCloud.
  • Run large-scale, perfectly parallel batch jobs efficiently with cloud-scale job and scheduling management service Azure Batch.
  • Encapsulate your processes and run containers to elastically provision additional compute capacity for your genomics analysis applications with Azure Kubernetes Service (AKS).
  • Optimize your application workflows to benefit from both on and off premises storage resources without rearchitecting applications requiring file access with Azure HPC Cache.
  • Get deeper insights from your clinical trial simulation data, build intelligent solutions, spin up clusters, and build quickly in a fully managed, global-scale Apache Spark environment with Azure Databricks.
  • Take advantage of scalable, cost-effective, and HDFS-compatible storage that's optimized for big data workloads with Azure Data Lake Storage.

In response to COVID-19, Microsoft is working to protect the health and well-being of the communities we serve by providing technology platforms and services that eliminate barriers to organizations doing their best work.

Learn how life sciences customers are innovating with Azure HPC

"I give [the Microsoft Genomics service] the input data that would come from the sequencers. It can uniformly realign everything and let me do the variant calling for the analysis I want."

Dr. Robert Klein, Klein Lab, Icahn School of Medicine at Mount Sinai
Icahn School of Medicine

"It was only when we first got our hands on Azure Virtual Machines and deployed VMs with AMD EPYC processors that we managed to streamline our ASD research and development and bring it down to a very digestible cost, which is important for us and our customers."

Dr. Georgios Antipas, CEO, Molecular Modelling Laboratory
Molecular Modelling Laboratory

"In Azure, we're 15 minutes from wanting new nodes to expanding the cluster to run larger simulations—and then paring them down when we're done."

Andy Lee, Cofounder and Chief Technology Officer, NeuroInitiative
NeuroInitiative

"Our initial benchmark of 500 tests per second is impressive. But after tuning our algorithm and working with Microsoft to use the latest technology from Azure Cognitive Services, we achieved more than 1,000 tests per second running the predictions model on a six-node machine using Triton Inference Server on NVIDIA GPUs in Azure."

Alan Payne, Chief Information and Product Officer, Sensyne Health
Sensyne Health

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