Hardware Selection Advice: Difference between revisions
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=Introduction=
We often get asked about the optimum computing setup to run TUFLOW models. While every model is different and will interact differently with your hardware there is some general advice that we can offer.
In the sections below you will find more detailed advice on GPU and CPU but generally:<br>
* The amount of RAM in the computer will be the limiter for the size of model you can run. This applies to CPU RAM (TUFLOW Classic, TUFLOW FV and TUFLOW HPC with Hardware == CPU) and also GPU RAM (TUFLOW HPC and TUFLOW FV with Hardware == GPU).If available RAM becomes a limitation, users should also investigate improvements to their model configuration to reduce RAM requirements (see <u>[[TUFLOW Simulation Speed | TUFLOW Simulation Speed]]</u>). ▼
▲* The amount of RAM in the computer will be the limiter for the size of model you can run. This applies to CPU RAM (TUFLOW Classic, TUFLOW FV and TUFLOW HPC with Hardware == CPU) and also GPU RAM (TUFLOW HPC and TUFLOW FV with Hardware == GPU).
* The processing speed of the CPU, the architecture, cache size, speed and number of processors play a role.
* For GPU simulations, the number of CUDA cores, the core speed, GPU card architecture, memory speed and interfacing with the motherboard PCI lanes and CPU are all important.
* The system must be well cooled to avoid throttling (meaning reduction of clock speeds to reduce heating), and have sufficient and reliable power supply. Should upgrades to the system be expected in the future (such as adding a second GPU card), then consider configuring these components to avoid future limitations. <br>
For information on minimum and recommended system requirement, see <u>[[System_Requirements | System Requirements]]</u>.
To discover a computer's NVIDIA GPU hardware, see <u>[[Console_Window_GPU_Usage | NVIDIA GPU Hardware and Usage]]</u>.<br>
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