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Find out, before deploying, if your model fits the requirements of your target use case.
What we do
ToriML is a hardware-aware optimizer that bridges the gap between R&D and model deployment in deep learning.
The Tori-engine
Accelerate your MLOps workflow by getting reliable RUNTIME/POWER performance measures, at development time.
Get the most compact and efficient ML models, while maintaining top prediction performance.
Minimal resources are required to run the Tori-engine.
Optimize and adapt models in a non-intrusive way.
Don't switch to a new framework. Keep your custom data loader, training, and validation environments.
Tori operates on-premise. Keep your data private.
Who we are
ToriML is a hardware-aware optimizer that bridges the gap between R&D and model deployment in deep learning — giving teams reliable runtime and power measurements at development time, before they ship.
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