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If the memory requirements for Guppy exceed available memory on the host machine, or if other computationally-intensive work is performed while Guppy is running, then Guppy may run out of memory and crash.
If Guppy fails for this reason the cause may not be directly apparent - the application may either simply crash or it may return a "segmentation fault" or "killed" error. In such cases, either the number of threads should be reduced or other computationally-intensive tasks should be stopped.
If GPU basecalling is enabled, and available memory on the GPU device is exceeded, an out-of-memory error from CUDA may be emitted on startup. In this case, reduce the number of runners or the number of chunks per runner, to allow Guppy to run.