Hardware Selection Advice: Difference between revisions
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===Multiple GPUs===
TUFLOW can use multiple GPU cards on a machine to run a single model (TUFLOW FV can currently use a single GPU only). This is useful for models that are too large for a single GPU, or for running a model as quickly as possible. In general terms the run time benefit of using multiple cards increases with model size.
* TUFLOW HPC-GPU does not support SLI for inter-GPU communications. It does (as of build 2020-01-AA) auto detect and utilise peer-to-peer access over NVLink or PCI bus on the motherboard. Note that not all GPUs support peer-to-peer access.
* When using multiple GPUs it is best to use cards of similar memory and performance. While it is possible (as of build 2020-01-AA) to re-balance a model over multiple GPUs, we do not recommend using cards with vastly disparate performance.
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