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4th chunk of `content/en/blog/_posts/2017-08-00-Kubernetes-Meets-High-Performance.md`
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![Screen Shot 2017-08-15 at 9.15.45 AM.png](https://lh6.googleusercontent.com/nKTtfQVVmL4qBoSR0lBmBuLt8KOrVEyjn9YcAu7hrhhV-rwnxRY3p-Y5Qfddf7BI6u1KN85VKfeaaU74xDl-oDk5NzybdIxAp0SJ42x14gwzpmwLwjVy5nIng6K8Ih-bRDlOmA9j)

With this approach, Kubernetes acts as a resource manager, making resources available to a separate HPC scheduler. Cluster administrators can use a visual interface to allocate resources based on policy or simply drag sliders via a web UI to allocate different proportions of the Kubernetes environment to non-container (HPC) workloads, and native Kubernetes applications and services.

 ![](https://lh6.googleusercontent.com/wSBBl5d-YL4_UCYgvHpE_XzijtqftSi6PTHJLGfHr5nAxmTj945jQB-pMNIGLovWwKWGnEsPjCkCPrUMWZEs9UHnQPPDSWPEl-Gl76Yczd-Yn65pEE8mKC-Asj3zP5xyfZc-r2qU-YmmOyBhLQ)

Title: Kubernetes as a Resource Manager for HPC Workloads
Summary
Kubernetes functions as a resource manager, providing resources to a separate HPC scheduler. Cluster administrators can use a visual interface to allocate resources based on policy, adjusting proportions of the Kubernetes environment for HPC workloads and native Kubernetes applications.