The fastest way to optimize your machine learning models
Make your models
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smaller,
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faster,
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more power-efficient
by adding only one line of code
Benchmark: "GPT-2" on "cpu_intel_i7"
The Tori-engine is built upon three principles
1. Reliability.
MLOps workflow acceleration through reliable RUNTIME/POWER performance measures, at development time.
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Does your model run under the required frame-rate across different smartphones?
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Can your hardware handle 25000 requests p. sec. on your latest models?
Find out, before deploying, if your model fits the requirements of your target use-case.
2. Performance & Lightweight.
Create the most compact and efficient ML models, while maintaining top prediction performance.
Tori's hardware-aware optimization functions with minimal compute resources.
3. Flexibility & Speed.
The Tori-engine operates on-premise to keep your data private. Moreover, the engine is designed to be completely non-intrusive; keep your custom data loaders, training and validation environments, etc.
Lastly, we support your favorite ML-framework.
Supported by:
