Please make sure to use the latest driver for your graphics card.

While TurbulenceFD technically works with less than 1GB of GPU memory, a GPU with 4GB or more memory is highly recommended.

Nvidia GPUs with Compute Capability 2.0 or newer, listed at It will then continue the simulation on the CPU. This is also what TurbulenceFD will do automatically, should it run out of GPU memory. In fact, you can switch between CPU and GPU simulation on-the-fly (see Simulation Window). All features are supported at the same quality. Unlike with some GPU accelerated tools, this is not just a stripped down version of the CPU pipeline. TurbulenceFD makes use of GPUs for it's simulation pipeline. Coupled with the appropriate amount of parallel compute power, GPUs are the ideal type of processor for fluid simulation. Today's fastest memory interfaces are found in GPUs - about 10 times faster than those of CPUs.

This makes memory bandwidth the most important factor for simulation speed. Mostly because there is a huge amount of data to be pushed around. Fluid Simulation needs quite a bit of processing power.

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