nTop, a leader in computational design software, has acquired Cloudfluid, a German computational fluid dynamics (CFD) software specialist. The acquisition, announced today, in New York, strengthens nTop's position in advanced engineering design by integrating GPU-native fluid simulation capabilities.
The merger addresses fundamental challenges in CFD simulation, particularly the complex meshing and extended run times that traditionally limit rapid design iterations. Cloudfluid's technology offers a unique solution through its GPU-native solver system.
Cloudfluid Technology Enhances Design Workflow
Cloudfluid's advanced solver technology brings a significant breakthrough in fluid flow prediction without requiring complex conformal meshes. When combined with nTop's implicit geometry kernel, this capability enables engineers to perform design iterations in near real-time.
"We are hyper-focused on building software that helps engineers go from requirements to design as fast as the latest processors allow—that’s the power of computational design.”
- Brad Rothenberg, CEO of nTop
Brad added, "One of the biggest bottlenecks has always been solving the physics—it takes time to mesh, apply boundary conditions, and converge on a solution. Cloudfluid solves this by integrating directly with our implicit modelling core, bringing CFD into the iterative computational design loop. This unlocks new applications for nTop's use in aerospace, defence, and turbo machinery design."
Advanced Applications Through Cloudfluid Integration
The combined platform addresses a critical gap in machine learning applications - the scarcity of curated simulation data. By enabling cost-effective generation of high-quality simulation data, the platform supports training predictive models for digital twins and design optimization.
Engineers can now generate extensive datasets through repeated simulations, providing the volume and quality of data needed for effective machine learning model training. This capability proves essential for developing accurate predictive models that can anticipate fluid behavior and optimize design parameters without running full simulations.
The platform's ability to rapidly generate simulation data also supports the development of digital twins, allowing companies to create virtual replicas of physical systems with accurate fluid dynamics modeling. This advancement enables better prediction of system behavior and performance under various conditions, reducing the need for physical prototyping.
This capability proves particularly valuable for the more than 400 companies worldwide currently using nTop's software across various sectors, including aerospace, defense, automotive, industrial, medical, and consumer industries. The platform maintains seamless integration with existing design and analysis tools.
The acquisition marks a significant step in computational design evolution, offering engineers new possibilities for rapid iteration and optimisation. nTop plans to showcase these capabilities at its second annual Computational Design Summit in Los Angeles this June, where Bradley Rothenberg will deliver a keynote speech on computational design's role in engineering transformation.
