NICE DCV is an AWS-owned high performance remote display protocol, which specializes in 2D/3D interactive streaming over the internet or a local network (e.g., WiFi). With the power of NICE DCV we can seamlessly connect to our remote session running either in the cloud or data center via internet from a local laptop. We can run demanding visualization or post processing and interact with it as if we were sitting at the machine itself. With NICE DCV we can stream the visualization to remote clients, eliminating the need for expensive dedicated workstations. NICE DCV streams pixels and not data to help provide customers data privacy. There is no additional charge to use NICE DCV on Amazon Elastic Compute Cloud (Amazon EC2), you only pay for the EC2 resources you use. For more details on NICE DCV, visit the NICE DCV website.
In this post, we explain how to run remote visualization in high performance computing (HPC) workloads using NICE DCV. We walk through how to set up NICE DCV with AWS ParallelCluster and run graphics-intensive applications and post-processing remotely on Amazon EC2 instances. AWS ParallelCluster is an AWS-supported open source cluster management tool that makes deploying and managing HPC clusters on AWS easy. This blog post provides a quick view into different HPC use cases across various industry verticals, such as oil and gas, manufacturing, life sciences, and media and entertainment.
To learn how you can run HPC applications remotely with NICE DCV, read the full blog here.