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The Institute for Health Metrics and Evaluation (IHME) is an independent population health research center at the University of Washington. With a global reputation for rigorous measurement and analysis, the IHME seeks to understand the world's most challenging health problems and evaluate strategies to address them.

IMHE's Global Health Data Exchange (GHDx) provides a comprehensive catalog of surveys, census data and vital statistics, and in keeping with their core principles, IMHE shares their datasets and findings broadly in a spirit of open collaboration.

To keep pace with evolving applications, IHME needed a modern, shared infrastructure. For containerized workloads, IHME selected Rancher, a Docker container management platform that uses Kubernetes to manage containerized applications. While Kubernetes excels at managing scaled-out container applications, it lacked critical features needed by scientists running existing HPC workloads.

To allow HPC workloads to work seamlessly with Kubernetes, IHME implemented Univa's Navops Command, a solution that plugs into Rancher, extending Kubernetes with advanced workload placement and policy management.

"By using Navops Command and Univa Grid Engine in our Kubernetes environment we have the best of both worlds. We can easily share resources between container and non-container workloads and even create hybrid workflows, paving the way to further enhance our application environment at our own pace."

- Dr. Tyrone Grandison, Chief Information Officer

"IHME manages the world's largest repository of human health metrics. Over 3,000 researchers access and contribute data each and every day to the Global Burden of Disease Project. We are proud to have partnered with them to evolve their HPC environment to run containerized and non-containerized workloads in a single cluster. The resulting increase in flexibility and improved efficiencies help support their mission to save lives across the globe."

- Gary Tyreman, President and CEO of Univa Corporation

Watch how IHME is using Univa Grid Engine software to power its high performance computing infrastructure for life science research.