SimScale Joins Forces With AI Engineering GmbH to Unlock Ultra-Fast, Meshless SPH Simulation in the Cloud, Powered by NVIDIA AI Infrastructure

The new integration allows engineers to solve complex fluid dynamics problems 10 – 20 times faster, turning simulation into a scalable source of synthetic data for Engineering AI and Digital Twins.

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MUNICH, Germany, March 16, 2026 — SimScale, the world’s first AI-native cloud engineering simulation platform, announced today a strategic cooperation with AI Engineering GmbH to integrate the PAMICS® solver into the SimScale ecosystem. By leveraging accelerated computing on NVIDIA AI infrastructure, this integration eliminates meshing bottlenecks and significantly shortens simulation runtimes for complex industrial applications that have long faced difficulties with grid-based methods, achieving simulation speeds 10 – 20 times faster.

Through the combination of AI Engineering’s advanced Smoothed Particle Hydrodynamics (SPH) solver and SimScale’s cloud-native infrastructure, this partnership aims to make high-fidelity, meshless Computational Fluid Dynamics (CFD) accessible to a wider range of users.

This improvement in performance further positions SimScale as a high-speed source of synthetic physics data, enabling teams to generate the scale and accuracy required for Physics AI model training and predictive Digital Twins. By integrating cloud-native simulation, centralized data management, and accelerated computing, SimScale helps lay the groundwork for training the next generation of AI models. This foundation supports downstream Physics AI workflows across the NVIDIA ecosystem, including physics-informed models built directly in SimScale with NVIDIA PhysicsNeMo.

The integration also supports advanced visualization workflows across the NVIDIA ecosystem, including compatibility with applications built on NVIDIA Omniverse libraries to provide photorealistic, physically-based rendering and immersive review of simulation results. This enables engineering teams to more easily visualize, communicate, and validate complex fluid behavior as part of broader Digital Twin workflows.

Designed to handle complex and highly dynamic fluid behavior that is hard to capture using traditional simulation methods, the PAMICS solver employs a Lagrangian Smoothed Particle Hydrodynamics (SPH) approach, allowing engineers to simulate fluid dynamics directly from raw CAD geometries without the need for meshing. This speeds up simulation workflows for complex multiphase and free surface flows, especially in scenarios involving arbitrary motion, fluid-structure interaction, and splashing that are difficult or impractical to model with traditional grid-based methods. Key use cases include:

  • Rotating Machinery & Powertrains: Accurately predicting oil lubrication and cooling in complex gearboxes and high-power electric motors without simplifying the geometry.
  • Industrial Mixing & Processing: Modeling multiphase flows, surface tension effects, and non-Newtonian fluids in mixers, agitators, and food processing equipment.
  • Water Management: Simulating vehicle wading, soiling, and contamination management for consumer, off-highway, and industrial vehicles.

“At SimScale, our goal is to enable engineers to explore thousands of engineering decisions in seconds,” said David Heiny, CEO of SimScale. “By integrating AI Engineering’s sophisticated PAMICS solver, we are bringing a true ‘no-mesh’ workflow to the cloud, removing one of the biggest obstacles in simulating complex fluid dynamics with moving assemblies. When combined with accelerated computing on GPUs and Physics AI workflows, this allows our customers to build their own synthetic data engines, accelerating their journey towards predictive Digital Twins.”

“We developed PAMICS to tackle the most challenging fluid dynamics problems where traditional methods fall short—specifically where complex motion and free surfaces interact,” said Dr.-Ing. habil. Stefan Adami, CEO of AI Engineering GmbH. “Partnering with SimScale allows us to scale this technology globally. As a member of NVIDIA Inception, we have optimized PAMICS to get the most out of NVIDIA GPUs. Delivering this through SimScale’s browser-based platform means that engineers in the industrial and manufacturing sectors can instantly access high-end SPH capabilities without having to invest in expensive local hardware.”

This integration is being demonstrated at NVIDIA GTC. Attendees can visit SimScale at booth 168 to preview the new SPH capabilities running on NVIDIA infrastructure.

About SimScale

SimScale is the world’s first AI-native cloud platform for engineering simulation. Trusted by over 800,000 users worldwide, SimScale empowers engineering teams to innovate more quickly by exploring thousands of design decisions in seconds. By integrating Engineering AI workflows with high-fidelity CFD, FEA, Electromagnetics, and Thermal simulation on a single cloud platform, SimScale removes the limitations of on-premise hardware and software, helping customers create unique engineering solutions. For more information, visit www.simscale.com.

About AI Engineering GmbH

AI Engineering GmbH is a pioneer in advanced simulation solutions, specializing in Smoothed Particle Hydrodynamics (SPH) and AI-enhanced engineering tools. AI Engineering uses cutting-edge GPU acceleration to offer PAMICS®, a robust meshless solver designed for complex industrial fluid dynamics. For more information, visit www.ai-eng.com.

CONTACT: Contact:

V2 Communications for SimScale
simscale@v2comms.com