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I don't think there was a problem with more runners, it was maybe just set for a different GPU. You need to play with the settings to reach the optimal speed for your GPU, and not everyone has a A100 with 40 GB GPU RAM.
Just monitor the GPU device usage and RAM using nvidia-smi.
Remember IO has a big impact, so storing fast5 files on SSD or other fast storage can decrease runtime a lot (36h to 24h for a human genome).
From @maxdeest
runners * chunks_per_runner * chunk_size ~= 100000 * [max GPU memory in GB] * 2
For Ampere A100 GPU, max out the 40 GB GPU mem
--chunk_size 3000 --gpu_runners_per_device 8 --chunks_per_runner 512
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