Many CFD workloads are beginning to shift to the cloud, and now Amazon Web Services and AMD are making it even more cost effective. Learn why Amazon EC2 Hpc6a can help your CFD simulations in a cost-effective way.
Many CFD workloads are beginning to shift to the cloud, and now Amazon Web Services and AMD are making it even more cost effective.
CFD simulations come in a variety of sizes with varying complexity. Simulations are subject to inactivity such as during non-working hours, during analysis of results, or preparation for a new simulation. Changing demand makes CFD ideal for AWS’ pay-as-you-go approach.
The flexibility of AWS infrastructure means that whatever your CFD workload, from designing the next generation of supersonic aircraft or autonomous electric cars, you can take advantage of virtually unlimited scalability to enable you to grow and shrink your infrastructure as your CFD workloads demand.
AWS has introduced the Amazon EC2 Hpc6a instance (powered by 3rd Generation AMD EPYC processors) which delivers up to 65% better price-performance over comparable x86-based compute-optimized Amazon Elastic Compute Cloud (EC2) instances. That means engineering teams can be free of previous constraints and able to get more accurate results faster, making it easier to meet project deadlines, and resulting in faster times to market.
In this webinar you’ll learn exactly why Hpc6a can help your CFD simulations in a cost-effective way. Find out:
- How Hpc6a supports engineering teams in their aim to run larger CFD models, capable of delivering increased detail and accuracy
- Specific examples of how it can accelerate product development cycles for automotive and aircraft design
- Benchmarks from common CFD codes such as Siemens Simcenter STAR-CCM+, ANSYS Fluent and OpenFOAM
- Practical steps on how you can create a Hpc6a HPC cluster in minutes
About the Speakers:
Dr. Neil Ashton – Computational Engineering Product/Tech Strategy HPC – AWS
Dr. Neil Ashton leads the Computational Engineering Product Strategy at Amazon Web Services and is a Computational Fluid Dynamics subject-matter expert for Amazon. He is a visiting fellow at the University of Oxford and is active in the research community leading community workshops such as the AIAA high-lift prediction workshop and the automotive CFD prediction workshop series. He has published widely on high-fidelity CFD method development, including the role of high performance computing (HPC) in accelerating its adoption.
Rick Knoechel – Cloud Computing Advocate for Scientific/Technical Computing & Simulation – AMD
Rick Knoechel is a Senior Solution Architect for Public Cloud at AMD. Rick joined AMD in 2021 after splitting the past five years between Oracle Cloud Infrastructure and Rescale. During his time at Rescale, Cloud-based HPC doubled year over year. Rick has led HPC pursuits with Dell, EMC, NetApp, Platform Computing, Violin Memory and others. He has also consulted and sold CAE Simulation, Data Acquisition/Analysis and Structural Testing Systems to the global automotive and aerospace industries. Rick has Masters degrees in both Mechanical Engineering and Computer Aided Design Engineering from University of Michigan along with undergraduate degrees in Physics and Mathematics.
This webinar is sponsored by Amazon Web Services and AMD.
