Leverage Physics and Engineering AI in a cloud-native simulation environment to accelerate computational engineering and unlock next generation workflows.
Modern AI methods can dramatically accelerate engineering innovation by learning from past simulation data to automate future workflow steps. Built on a cloud-native platform with on-demand HPC, SimScale delivers lower TCO, simpler upgrades, and centralized data management. Engineering teams benefit from elastic compute capacity and AI-driven result synthesis—all without IT overhead—to iterate faster and drive better product decisions.
Natively integrated deep learning capabilities allow training, deploying, and version modeling for instant physics predictions. These Physics AI models enable engineering teams to explore design spaces faster, deeper, and broader than possible with traditional PDE solver methods. The capabilities, powered by NAVASTO, include:
SimScale’s AI goes beyond accelerating physics simulations to streamlining the entire setup process. A constantly learning Engineering AI model automatically selects the optimal HPC compute infrastructure for each run, so you spend less time configuring resources and more time innovating.
And this is just the beginning: future Engineering AI features will build on the same architecture to tackle geometry cleanup, automatically select initial simulation setups, and even pre-condition steady-state analyses with AI-driven insights, delivering an ever-evolving suite of tools that power faster, smarter engineering workflows.
Learn about the advances in computational design for hardware in the automotive and manufacturing industries.
See how SimScale’s AI simulation features sit side by side with traditional physics solvers, all accessed in a web browser.
See the new AI-powered simulation features launching in SimScale soon.
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