Flexcompute Flow360 GPU-native simulation now available on Rescale for scalable engineering analysis

Flexcompute has announced the commercial availability of its GPU-native simulation software Flow360 on the Rescale platform. This integration delivers high-fidelity physics simulations with cloud scalability, enabling engineers and researchers to tackle larger, more complex analyses and generate advanced datasets for training Physics Artificial Intelligence (AI) models. The goal is to provide technical professionals with expanded access to computational tools that can handle significant workloads and support next-generation engineering needs.

By making Flow360 available on Rescale, users can leverage GPU-native performance to run massive, high-fidelity physics simulations directly through the cloud. Flexcompute claims this combination enables faster analyses and removes many traditional scale limitations, allowing organizations to explore wider design spaces and accelerate engineering workflows. The combined offering supports creation of expansive datasets critical for Physics AI development and training.

Regarding technical advantages, Adam McKenzie, Chief Technology Officer at Rescale, said, “The next generation of engineering demands simulation tools that can scale without compromise,” “Flexcompute’s GPU-native solvers deliver high-fidelity simulation at massive scale. This enables our customers to efficiently explore larger design spaces and accelerate their engineering processes.”

Savithru Jayasinghe, Head of Computational Fluid Dynamics (CFD) at Flexcompute, added, “This collaboration represents an important step toward the next generation of physics-based computing,” “Bringing our technology to Rescale’s environment expands an open ecosystem that gives engineers flexible access to high-fidelity simulation. Making our technology broadly available on the cloud is central to enabling users to push the limits of physics simulation and solve challenges that were previously out of reach.”

Flexcompute reports that its GPU-native multiphysics simulation, geometry-native reasoning, and neural memory platform is used across sectors including aerospace, automotive, energy, and advanced manufacturing. While applications including data center technology were not specifically referenced, the high-fidelity simulation and scalable data generation features are designed to support technical teams working in advanced engineering environments.

Source: Flexcompute

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