Deploy AI across mobile, web, and embedded applications
On device
Reduce latency. Work offline. Keep your data local & private.
Cross-platform
Run the same model across Android, iOS, web, and embedded.
Multi-framework
Compatible with JAX, Keras, PyTorch, and TensorFlow models.
Full AI edge stack
Flexible frameworks, turnkey solutions, hardware accelerators
Explore the full AI edge stack, with products at every level — from low-code APIs down to hardware specific acceleration libraries.
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MediaPipe Framework
A low level framework used to build high performance accelerated ML pipelines, often including multiple ML models combined with pre and post processing.
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Model Explorer
Visually explore, debug, and compare your models. Overlay performance benchmarks and numerics to pinpoint troublesome hotspots.
Gemini Nano in Android & Chrome
Build generative AI experiences using Google's most powerful, on-device model
