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April 15, 2022 at 4:22 pm
Ansys Employee
You are welcome to try setting the GPU override variable, but it still might not enable the RTX5000
1.4. Requirements for the GPU Accelerator in Mechanical APDL (ansys.com)
For NVIDIA GPU cards, the driver version must be 451.82 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 Windows environment variable:
Variable: ANSGPU_OVERRIDE
Value: 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.
1.4. Requirements for the GPU Accelerator in Mechanical APDL (ansys.com)
For NVIDIA GPU cards, the driver version must be 451.82 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 Windows environment variable:
Variable: ANSGPU_OVERRIDE
Value: 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.