Solve a high-Reynolds number flow on a mesh with 50 million grid points in only minutes. Our proprietary software and hardware allow us to converge large-scale problems in a tiny fraction of the time compared to CPU-based solvers such as Fluent and StarCCM+. The unprecedented speed of our solvers will allow you to greatly boost productivity by reducing turn-around time and allowing for higher fidelity simulations.
Leveraging the vast computing capacity of the cloud, our users can run hundreds of cases simultaneously. There is no queue, and cases start instantly. All of your solutions are delivered in minutes whether you are running one job or hundreds. This on-demand parallelism will allow your team to run far more simulations, each of higher fidelity, than was ever possible with other CFD solutions.
You pay not for how long your computation lasts, but for how much work is done. The cost of each simulation is calculated by a simple formula, based on the grid size and the number of time step and linear iterations. No need to choose how many cores, what CPUs, or how much memory is needed. Our algorithm analyzes your mesh and input and takes care of optimizing the setup. You spend minimal time setting up your simulation while knowing your cost before running them.
Start running hundreds of simulations with our simple and flexible Python API in minutes. Forget about upfront hardware investment, rack space, hardware maintenance and upgrade cost. Forget about software licensing cost. Forget about cluster capacity and job queues. Start experience unlimited capacity, superior flexibility, speed, and agility.