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Ashutosh Singh@The Tech Portal
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Google has launched AI Edge Gallery, an open-source platform aimed at developers who want to deploy AI models directly on Android devices. This new platform allows for on-device AI execution using tools like LiteRT and MediaPipe, supporting models from Hugging Face. With future support for iOS planned, AI Edge Gallery emphasizes data privacy and low latency by eliminating the need for cloud connectivity, making it ideal for industries that require local processing of sensitive data.
The AI Edge Gallery app, released under the Apache 2.0 license and hosted on GitHub, is currently in an experimental Alpha release. The app integrates Gemma 3 1B, a compact 529MB language model, capable of processing up to 2,585 tokens per second on mobile GPUs, enabling tasks like text generation and image analysis in under a second. By using Google’s AI Edge platform, developers can leverage tools like MediaPipe and TensorFlow Lite to optimize model performance on mobile devices. The company is actively seeking feedback from developers and users.
AI Edge Gallery contains categories like ‘AI Chat’ and ‘Ask Image’ to guide users to relevant tools, as well as a ‘Prompt Lab’ for testing and refining prompts. On-device AI processing ensures that complex AI tasks can be performed without transmitting data to external servers, reducing potential security risks and improving response times. While newer devices with high-performance chips can run models smoothly, older phones may experience lag. Google is also planning to launch the app on iOS soon.
ImgSrc: thetechportal.c
References :
The AI Edge Gallery app, released under the Apache 2.0 license and hosted on GitHub, is currently in an experimental Alpha release. The app integrates Gemma 3 1B, a compact 529MB language model, capable of processing up to 2,585 tokens per second on mobile GPUs, enabling tasks like text generation and image analysis in under a second. By using Google’s AI Edge platform, developers can leverage tools like MediaPipe and TensorFlow Lite to optimize model performance on mobile devices. The company is actively seeking feedback from developers and users.
AI Edge Gallery contains categories like ‘AI Chat’ and ‘Ask Image’ to guide users to relevant tools, as well as a ‘Prompt Lab’ for testing and refining prompts. On-device AI processing ensures that complex AI tasks can be performed without transmitting data to external servers, reducing potential security risks and improving response times. While newer devices with high-performance chips can run models smoothly, older phones may experience lag. Google is also planning to launch the app on iOS soon.
ImgSrc: thetechportal.c
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References :
- The Tech Portal: Google rolls out ‘AI Edge Gallery’ app for Android that lets you run AI models locally on device
- www.infoworld.com: Google’s AI Edge Gallery will let developers deploy offline AI models — here’s how it works
- Latest news: This new Google app lets you use AI on your phone without the internet - here's how
- developers.googleblog.com: The 529MB Gemma 3 1B model delivers up to 2,585 tokens per second during on mobile GPUs, enabling sub-second tasks like text generation and image analysis.
- venturebeat.com: Google quietly launched AI Edge Gallery, an experimental Android app that runs AI models offline without internet, bringing Hugging Face models directly to smartphones with enhanced privacy.
Classification:
- HashTags: #GoogleAI #EdgeComputing #DataPrivacy
- Company: Google
- Target: Android developers
- Product: AI Edge Gallery
- Feature: Offline AI models
- Type: ProductUpdate
- Severity: Informative