Run ML and GenAI models directly on edge devices with high performance.
Models that recognize images, understand texts, and predict outcomes, like a self-driving car's sensor system or a health monitor that detects anomalies.
With LiteRT, you save processing power and energy by not sending data to the cloud first, making your apps faster and more efficient.
"A founder building a smart home device wants to recognize objects and provide information to users. They write a LiteRT model to interpret camera feeds and integrate it with their system; next, they test and refine it to achieve high accuracy; finally, they deploy the working model on their edge device to start improving user experiences."
When you're just starting to work with AI and want a solid foundation in on-device ML and GenAI.
When you need a high-performance edge AI solution that integrates well with existing tech stacks and requires little manual optimization.
LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization
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