What is the best way to run a model in production. Multiprocessing

[sh1man]

I am using multiple processors for my program, does it make sense for the model to load a different one into each process ?
will my productivity increase?

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[glenn-jocher]

@sh1man yes, using multiprocessing with each process loading its own YOLO model instance is recommended for production, as it avoids shared state issues and can increase productivity by leveraging independent processes. You can refer to our guide on thread-safe inference for more details: https://docs.ultralytics.com/guides/yolo-thread-safe-inference/.

[Y-T-G]

You should load the model using something like Triton Inference Server, so that you don't have to load it in every process.

https://docs.ultralytics.com/guides/triton-inference-server/