Model parallelization for inference on large images

[tonyreina]

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Question

I've got images that are 8k and larger in size. I'd like to use the entire image in the Yolo model but of course that leads to memory and latency issues in the inference.

Is anyone aware of doing inference for Yolo where they employ model parallelism across say 4 GPUs (NVLinked on same node) to handle 4 sections of the image (or 4 sections of the model) simultaneously and then stich them back together at the end?

Is there anyway to do something like this with Ultralytics?

Thanks. Best. -Tony

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No response

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