Solver-as-a-Service Platform Now Generally Available

OnScale offers high performance cloud computing for applications including MEMS, 5G RF filters, biomedical and more. (Image courtesy of OnScale.)
High performance cloud computing company OnScale has announced the general availability of its flagship platform, OnScale Cloud, which is marketed as the industry’s first solver-as-a-service platform, combines multiphysics solvers with scalable high performance computing (HPC).

Boasting beta users like Siemens, GE, Qualcomm and more, OnScale is targeting engineering problems in applications such as 5G RF, biomedical, and Internet of Things (IoT) and Industrial IoT (IIoT) sensors. With all the heavy computation sent off to the OnScale HPC cloud, OnScale claims that users can obtain simulation results up to 100x faster than legacy CAE solutions.

OnScale’s fully coupled multiphysics solver covers mechanical, electrical, electrostatic, piezoelectric and thermal simulations, and the platform offers a scripting language to automate design studies.

Screenshot of the OnScale user interface setting up a SAW filter optimization study. (Image courtesy of OnScale.)
“OnScale was built for engineers by engineers,” said OnScale CEO Ian Campbell. “We’ve experienced the restrictive nature of legacy CAE tools ourselves, so we designed OnScale tools to help engineers at Fortune 100 companies and startups alike remove cost and compute constraints. Our early beta customer success confirms the pent-up demand within the engineering community for a better way to design the future of 5G, IoT and IIoT, biomedical and driverless car products.”

OnScale is available in three price tiers: Free, Professional and Team. The tiers are differentiated in terms of the compute time allotted, which is measured in core hours. For example, a solve that requires a 16-core HPC and 30 minutes to solve would consume eight core hours.

Price ($/month)

Monthly Core Hours

Additional Core Hours
($/core hour)

Free

0

10

10

Professional

300

50

9

Team

1,000

200

7

To learn more about OnScale, visit the website.