The machine(s) being used for the simulation must contain at least one NVIDIA GPU card.

A minimum 16GB of on-card memory is recommended in order to achieve meaningful acceleration in simulations that can use the NVIDIA GPU card.

To achieve optimal performance, only NVIDIA GPU cards with significant double precision performance (FP64) are recommended for use with the sparse direct solver and eigensolvers based on the sparse solver (for example, Block Lanczos or subspace). The following cards are recommended:

For NVIDIA GPU cards, the driver version must be 527.41 or newer. For optimal performance on Windows, the TCC (Tesla Compute Cluster) driver mode is recommended when using Tesla series GPU cards. Some limitations exist when using this driver mode. Check your GPU card documentation for more details on how to set this driver mode and the existing limitations.

To utilize a NVIDIA GPU device that is not on the recommended list of cards, set the following environment variable:

ANSGPU_OVERRIDE=1

This is most beneficial when you wish to run on newer NVIDIA GPUs that were not available at the time of release of this version of the Ansys program. If you choose to use this environment variable, you should ensure that the NVIDIA GPU device that you wish to use is sufficiently powerful, in terms of both double-precision compute power and on-card memory, to achieve meaningful acceleration for your simulation. Using this environment variable with an underpowered CPU may actually decelerate your simulation.