Only running EM simulations and not using RAN mode or machine learning, what is the minimum GPU specification required to complete this task?
I think I would need more information to answer specifically but let me start by saying Omniverse has a recommended absolute minimum of a 3070 GTX. Below that it would be almost unusable.
Technical Requirements — Omniverse USD Composer latest documentation (nvidia.com)
But as always I would be thinking in the opposite direction. What is the MAXIMUM GPU you can afford. The faster the gpu, the faster you can process your workload. That holds true for all gpu accelerated workflows, regardless.
Hi, @Richard3D
Thanks for your reply. I would like to provide more detailed information based on my question.
According to the requirement from Aerial Omniverse Digital Twin (Installation - NVIDIA Docs) , it requires two gpus for frontend and backend . Now I can load a tokyo model into Omniverse with RTX 3070 at the frontend. However, I need a second gpu for the backend operation to run a simulation.
Based on my understanding, the requirements for the second GPU could be very high if we are running the full backend, which includes both EM mode and RAN mode. According to the official documentation, the requirements for the second GPU are the same as for Aerial CUDA Accelerated RAN. Therefore, I believe that if we are not running RAN mode and are only running EM mode, we might not need such a high-spec GPU. I am curious to know if using only EM mode would allow us to use a GPU from the RTX 30 series instead.
Ok thank you for the extra detail. However it does not change my reply at all. Buy the most powerful GPU you can afford and fit in your workstation. There is so such thing as too much power in the GPU world. A 3070 may work. It may not. Or it may work very slowly. I think a 3070 is way under powered. And it has very little vram. For the front end it is recommending12GB ram. A 3070 has only 8GB ram.
For the backend it is recommending an A6000 with 48GB. I would certainly think about that or a A5000 or a 4090.
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