Engineering simulation,
30× faster.

To power the next decade of engineering simulation, where every design is run a thousand times, not once.

Liked by people from

SiemensBoschUC BerkeleyTU Delft

Installation

brae is production-ready on NVIDIA GPUs, run it on your workstation, a cluster, or the cloud, and drops straight into your existing OpenFOAM workflow.

curl -fsSL https://brae.sh/install.sh | sh

Requires NVIDIA GPU · CUDA 12.4

The whole solve stays on the GPU.

Mesh, fields, pressure–velocity coupling, every linear solve, on the device from the first iteration to the last.

Offload solvers rebuild the matrix on the CPU and copy it across every step. That migration tax is what brae doesn't pay.

0 bytes
moved CPU-GPU per iteration
100%
solve stays GPU-resident
0
matrix rebuilds on the CPU

The honest chart.

The same OpenFOAM case, same schemes, same solver tolerances, run every way we could on the same hardware. Every result matched the fields to under 1%.

brae
device-resident
1.0×
OpenFOAM, EPYC 9334
24-core AMD CPU, MPI
2.5×
SPUMA
full-GPU OpenFOAM port
4.5×
OpenFOAM + AMGX
GPU offload
26×
OpenFOAM + PETSc
GPU offload
30×

One NVIDIA H100 PCIe (~2 TB/s HBM). simpleFoam, 4.89M cells. Matched under 1%.

One GPU
instead of 1,000 CPU cores.

What people are saying.

Reactions from the r/CFD and r/CUDA launch threads.