Hardware Selection Advice: Difference between revisions

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*TUFLOW FV - Run on GPU Hardware: A single model run uses the GPU(s) for computation. In general terms: The maximum model size is dependent on the available GPU and CPU RAM and the runtime is driven by the CUDA core speed, the number of CUDA cores available and the GPU architecture. GPU performance is complex and is not easily inferred from GPU clock speed and number of cores, it is also very dependent on the ‘generation’ or architecture of GPU. As TUFLOW FV requires some data exchange between GPU and CPU, the motherboard bus speeds and CPU speeds also play a role but typically a much lesser role compared to the GPU CUDA compute.<br>
 
On ourThe <u>[[Hardware_Benchmarking_-_Results#CPU_Results | Hardware Benchmarking]]</u> page you can compareshows recently run combinations of GPU, CPU and RAM. These can be compared with the system youplanned are planning tofor purchase. WeThe recommendrecommendation thatis if building a computer that youto seek advise from an appropriate computer hardware vendor who can advise on the compatibility and optimisation of yourthe setup.<br>
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