Supported GPUs by Solver
GPU support includes Quadro and Tesla cards and GPU generations (Kepler (K), Maxwell (M), Pascal (P), Volta (V), Turing/RTX, Ampere(A)). GPU acceleration has been developed for Nvidia cards and is officially supported with the Tesla series. We highly recommend NVIDIA Tesla cards for the best performance when using several cards on one machine to solve either multiple variations (DSO) or excitations (HPC) in parallel which is referred to in this document collectively as distributed.
- HFSS Frequency-domain and Time-domain solvers support NVIDIA Data Center GPUs of the Ampere series and Tesla GPUs of the Volta, Pascal, and Kepler generations. NVIDIA Workstation RTX and Quadro GPUs for all generations are not supported except for Quadro GV100.
- HFSS SBR+ solver supports NVIDIA Data Center GPUs of the Ampere series and Tesla GPUs of the Volta, Pascal, Maxwell, and Kepler generations. NVIDIA Workstation GPUs of the RTX and Quadro families are supported by the HFSS SBR+ solver.
- Maxwell solvers support NVIDIA Data Center GPUs of the Ampere series and Tesla GPUs of the Volta, Pascal, and Kepler generations. NVIDIA Workstation RTX and Quadro GPUs for all generations are not supported except for Quadro GV100.
- Ansys EMIT supports NVIDIA Data Center GPUs of the Ampere series and Tesla GPUs of the Volta, Pascal, Maxwell, and Kepler generations. NVIDIA Workstation GPUs of the RTX and Quadro families are supported by EMIT.
- Icepak supports NVIDIA's CUDA-enabled Tesla and Quadro series workstation and server cards.
Driver requirements:
NVIDIA GPU minimum driver requirements are dictated by the NVIDIA CUDA version. The current Ansys EM uses CUDA 10.2 which requires a minimum driver version of 441.22 for Windows x86_64 and 440.33 for Linux x86_64.
We recommend downloading standard NVIDIA drivers for the user-specific cards rather than “DCH” drivers on Windows OS.
To contact Ansys technical support staff in your geographical area, please log on to the Ansys corporate website, ansys.com/support.
nVIDIA Tesla M2090, is a previous generation (code Fermi) GPU card and doesn’t work for Workstation since it has no fan for active cooling but needs a server with GPU cooling solution (passive cooling) similar to the nVIDIA Tesla K80.
To get the best performance, the GPU used for running simulation jobs should not be attached to any display. Only GPU cards with CUDA Compute Compatibility 3.0 (Kepler) and above should be used. To improve the speedup of transient field visualization, you should install GPU cards on a system with PCI-E 3.0 slots. A mixture of interface cards with lower PCI-E versions may result in the data not being transferred from GPU to CPU at the highest speed.