
Google AI Edge: LiteRT for Android
Free

Google AI Edge provides tools and resources for deploying AI models on edge devices, with a focus on Android. LiteRT, a key component, optimizes models for efficient on-device execution. The platform supports various models, including those from TensorFlow and PyTorch, and offers tools for conversion, optimization, and deployment. It includes features like the Model Explorer, AI Edge Portal, and API references. Google AI Edge also provides solutions for GenAI deployments and supports running LLMs using LiteRT-LM. The platform aims to empower developers to build and deploy AI-powered applications on Android devices, offering a range of tools and resources for model optimization and deployment.
Optimizes AI models for efficient execution on Android devices.
Supports converting models from TensorFlow and PyTorch formats.
Provides tools for optimizing models for size and performance.
Offers a portal for managing and deploying AI models on edge devices.
Supports deployment of Generative AI models on Android.
Helps assess model compatibility and performance.
Explore the Google AI Edge documentation to understand available tools and resources.,Convert your PyTorch or TensorFlow models using the provided conversion tools.,Optimize your models for Android devices using LiteRT.,Utilize the Model Explorer to assess model compatibility and performance.,Deploy your optimized models onto Android devices using the AI Edge Portal.
Develop applications that run AI models directly on Android devices for improved performance and privacy.
Integrate Generative AI capabilities into Android applications.
Deploy AI models on edge devices to reduce latency and improve responsiveness.
Developers building AI-powered applications for Android devices.
Researchers looking to deploy and test AI models on edge devices.
Google AI Edge offers its tools and resources for free.