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Tori's hardware-aware optimizer breaks the barrier between deep learning R&D and model deployment. We are building a non-intrusive and lightweight framework that allows tweaking your models to fit the production requirements while maintaining top accuracy performances. Speed up, compress, or increase power efficiency for specific hardware, by adding a single line of code to your favorite framework.

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ToriML is based in Vancouver, British Columbia.

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