Welcome to our onboarding page! Here, you'll find guidance on how to get started with Ansys Gateway powered by AWS. If you have any questions or would like to test it out, feel free to reach out to us.
With both Manual and Express Setup, flexibility is at the heart of Ansys Gateway powered by AWS. Express Setup enables you to onboard on Ansys Gateway powered by AWS without the need for Active Directory and with minimal IT expertise.
Find some examples of benchmarks made by Ansys to ease your choice of the best instances for your physic and access the best cost performance ratio.
Ansys Gateway powered by AWS is purpose-built for engineering simulation, providing users with the ability to customize the cloud environment for different types of problems.
Ansys experts measured and compared solver performance and cost to help users choose the best balance of these constraints when conducting Mechanical studies.
A new study from Ansys reveals that, for a complex CFD problem solved using Fluent, an optimized cloud setting results in accelerated solution runtimes.
"Recently we made the decision to supplement our cluster with Ansys Gateway, powered by AWS. The ETNZ team is able to scale up on-demand to many times the simulation throughput when using Ansys Gateway powered by AWS, when compared to their internal cluster."
“Ansys Gateway powered by AWS unleashes the computing resources we need to quickly solve electromagnetics-related challenges in our Smart Motor System™ designs. We get tremendous acceleration during development with the added computational power, going from weeks to days to come up with answers to our most pressing technological challenges which otherwise would not have been possible.”
“What we do with Ansys simulation is reduce the time we are taking for testing by reducing the number of physical tests and improving them. Cloud computing is a must-have. We probably wouldn't be able to use Ansys — or it would be very complicated — if we didn't have the cloud computing approach because it gives us a reduction in the economies of scale.”
