Category: High Performance Computing

To meet challenging product design goals and deadlines, today’s complex engineering projects need instant access to state-of-the-art computing infrastructure as well as advanced CAE and CAD software. However, procurement and configuration of these resources at scale can involve large up-front costs and long deployment timelines. Learn how Ansys Gateway powered by AWS facilitates seamless access and deployment of Ansys products on the AWS Cloud.

As a long-standing partner of automotive and life science companies, the Atos Science + Computing Unit specializes in providing customers with tailor-made and demand-driven HPC solutions. Learn about two hybrid HPC deployments that are transparently integrated with the traditional workload manager that controls existing on-premises HPC resources, and how they are distinguished by entirely different approaches.

Running genomics and high performance computing (HPC) workloads is complicated. To address these customer asks, Relevance Lab developed Research Gateway—a solution that delivers secure and scalable research without customers having to do the heavy lifting. This post provides an overview of the solution architecture and standard genomic research workflow, including a walkthrough of how to access Research Gateway, provision products required for their genomics sequencing analysis, and run the analysis.

To help customers run the most compute-intensive workloads across industry verticals, we are excited to introduce the new AWS High Performance Computing (HPC) Competency featuring AWS Partners who are focused on the important aspects of HPC in the cloud, including security, cost management, and performance. These trusted AWS Partners are uniquely positioned to help customers innovate faster and become more agile and flexible while controlling costs.

Scientific visualization is critical to understand complex phenomena modeled using high performance computing simulations. However, it has been challenging to do this effectively due to the inability to visualize, explore, and analyze large volumes of data and lack of collaborative workflow solutions. NVIDIA IndeX on AWS addresses each of these problems by providing a scientific visualization solution for massive datasets, thus opening the doors for discovery.

Popular in the HPC community and a range of industry verticals, Lustre is a powerful, open source, Linux-compatible, parallel file system. Amazon FSx for Lustre is a fully managed, scalable shared storage solution to power your compute workloads. Six Nines is deeply familiar with HPC storage pain points, and has helped customers address this very issue over the past five years. Dive deep with Six Nines’ FSx for Lustre experience, particularly the high availability, performance, and integration features of its latest releases.