Using AWS, we quickly scaled and added the needed on-demand compute power for the CFD team, compared with the months required and significant capital to build and scale an on-premises HPC cluster.

AWS has been a long-time partner supporting our business in many ways. The recent HPC solution has provided a step-change improvement in both speed and cost for some of Blue Origin’s more expensive computational workloads. Not only did they advance the AWS infrastructure, they also provided a top-notch team to help Blue Origin implement the change to realize cost savings and speed up.

TotalCAE Platform makes it easy for computer-aided engineering (CAE) departments to adopt the agility and flexibility of AWS in just a few clicks for hundreds of engineering applications like Ansys Fluent, Siemens Simcenter STAR-CCM+, and Dassault Systemes Abaqus. As an AWS HPC competency partner, we help customers run their CAE workloads in the cloud. With Hpc6a instances, we have seen up to a 30% performance boost for CFD workloads at a lower cost, enabling TotalCAE to offer customers industry leading price performance, and scalability in the cloud.

The release of the Amazon EC2 Hpc6a instance is yet another exciting announcement from AWS that enables Maxar to continue to meet and exceed our customer requirements for Big Compute workflows—whether to accelerate the research and operations of numerical weather prediction (NWP) workloads or to create the world’s best, most up-to-date, and accurate digital twin models with our Maxar Precision3D product suite. The Hpc6a instances, featuring AMD EPYC 3rd Gen processors, combined with the EFA networking capability provides us a 60% performance improvement over alternatives, while also being more cost efficient. This enables Maxar to strategically choose among the suite of AWS HPC cluster configurations that we've developed to best suit our clients' needs while maximizing flexibility and resiliency.

Hpc6a instances combine the leading-edge interconnect technology of EFA with the extremely versatile AMD EPYC 3rd Gen chipset, providing a performance sweet spot for applications ranging from CFDs, which relies on scalable hardware, to structural finite element analysis, which benefits from the high memory performance of AMD 3rd Gen EPYC processors. Rescale’s customers solve some of today’s most critical challenges in areas ranging from autonomous vehicles to climate to drug discovery using HPC. With Hpc6a instances, we’re excited to give customers another powerful tool for accelerating innovation and scientific progress.

Our collaboration with AWS allows us to better serve our customers with high-resolution weather prediction systems that feed analytics engines. We’re very excited to see the price/performance of Hpc6a instances, and we expect this to be our go-to Amazon EC2 instance choice for HPC workloads going forward.

CFS has benefited greatly from HPC. The new Amazon EC2 Hpc6a has been a game changer in many respects. We’ve been able to increase the speed of many simulation tasks, cut runtimes approximately in half, and reduce our computing costs by over 50%. As CFS works to bring clean, limitless commercial fusion energy to the grid, we’re excited to work with AWS and their HPC team.

With Amazon EC2 Hpc6a instances, Metro Weather is able to achieve up to a 43% performance improvement over C5n instances for its wind forecasting workloads. Additionally, this performance boost over C5n instances required 50% less compute instances and reduced compute costs by as much as 75%. Hpc6a’s impressive price/performance benefits make it an ideal choice to power Metro Weather’s wind forecasting HPC platform.