mobilint/mblt-sdk-tutorial
SDK tutorial for Mobilint qb
This tutorial helps AI application developers integrate their deep learning models with Mobilint's NPU hardware. It guides you through converting pre-trained models from common frameworks into a highly optimized format (MXQ) and then running them efficiently on Mobilint NPUs. The output is a model that executes faster while maintaining accuracy on specialized hardware, used by developers building AI-powered applications.
Use this if you are a developer looking to accelerate the inference performance of your deep learning models on Mobilint NPU hardware.
Not ideal if you do not have access to a Mobilint NPU or are not involved in developing deep learning applications.
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Python
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Last pushed
Mar 27, 2026
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