We unveil the principles behind our model-agnostic AI deployment framework, OwLite, that lets developers reuse a single pipeline for any neural network on diverse edge devices. By abstracting away device-specific quirks and conversion scripts, teams can eliminate redundant engineering effort and focus on optimizing core model performance. We’ll discuss how this unified approach accelerates roll-out, simplifies maintenance, and future-proofs your AI infrastructure against evolving AI landscapes.
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