Streamline Your GPU-Accelerated CFD Simulations Today
Running OpenFOAM on a GPU means the heavy lifting — solving the equations that describe fluid flow, heat transfer, or chemical reactions — happens on hardware designed for exactly that kind of parallel work. The result: simulations that would take hours on a CPU cluster finish in minutes, making it practical to explore more design options, iterate faster, and push resolution beyond what was previously affordable. For teams building on OpenFOAM, GPU support is also a long-term investment: it keeps the codebase modern, portable, and aligned with the direction the industry is moving.
Superior Parallelization
GPUs excel through massive parallelization, executing thousands of threads simultaneously. This standalone version of foam-extend with integrated CUDA capabilities is essential for maintaining a competitive edge in advanced fluid dynamics.
Competitive Advantage
Adopting native CUDA GPU implementations avoids workflow bottlenecks, unlocking a 10x potential speedup that is critical for staying ahead in engineering innovation.
Advanced CUDA Modeling
Leverage specialized CUDA hardware acceleration to dramatically reduce turnaround times and achieve high-fidelity CFD results faster than ever.