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Monday, May 18, 2026

nTop acquires cloudfluid to advance computational design providing


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nTop, a pacesetter in computational design software program for high-performance engineering, has acquired cloudfluid, a German firm specializing in computational fluid dynamics (CFD) software program. With the addition of cloudfluid to its know-how stack, nTop now gives one of the vital superior and full platforms for computational design – revolutionizing how engineers design high-performance merchandise.

CFD usually includes complicated meshing and prolonged run occasions – making it impractical to make use of in speedy design iterations. cloudfluid addresses this problem with its GPU-native solver know-how, which precisely predicts fluid circulation with out the issue of making complicated conformal meshes. Coupled with nTop’s industry-leading implicit geometry kernel, engineers can now iterate on designs in close to real-time to create breakthrough merchandise.

Taking AM all the way to the nTop. Bradley Rothenberg on how computational design tools are unlocking the full potential of manufacturing.
Actual-time jet engine idea explorer mannequin.

“We’re hyper-focused on constructing software program that helps engineers go from necessities to design as quick as the newest computing processors enable – that’s the ability of computational design,” mentioned Brad Rothenberg, CEO of nTop. “One of many largest bottlenecks has at all times been fixing the physics – it takes time to mesh and converge on an answer. cloudfluid solves this by integrating straight with our implicit modeling core, bringing CFD into the iterative computational design loop.”

The combination of cloudfluid’s high-speed CFD with nTop’s computational design platform expands functions in aerospace, protection, and turbomachinery, the place fluid dynamics are essential. Engineers can now discover complicated geometries and optimize designs sooner – advancing propulsion, aerodynamics, and thermal administration methods. On the identical time, these applied sciences tackle machine studying’s knowledge challenges, the place curated simulation knowledge is usually missing. This integration enhances decision-making, accelerates innovation, and improves manufacturing effectivity by enabling the cost-effective technology of high-quality simulation knowledge for coaching predictive fashions in digital twins and design optimization.

To be taught extra about nTop, take a look at our interview with Brad Rothenberg from the corporate’s inaugural Computational Design Summit in Los Angeles, which passed off early final yr. The second rendition of the occasion will happen in June.

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