May 29, 2025 — In a groundbreaking leap forward for artificial intelligence, Google has unveiled Edge Gallery, a powerful mobile application that empowers users to run advanced AI models without any internet connection. In an era dominated by cloud-based solutions, Edge Gallery is reshaping expectations by bringing the might of generative AI directly to your smartphone—all while protecting user privacy and reducing reliance on external servers.
Currently available for Android through the Google AI Edge GitHub repository, the app is expected to launch on iOS soon, signaling a broader shift toward on-device intelligence for both major mobile platforms.
Why Edge Gallery Matters: A New Era of On-Device Generative AI
Edge Gallery isn’t just another AI tool—it’s a live demonstration of Google’s LLM (Large Language Model) Inference API in action. The LLM Inference API allows developers to run powerful language models directly on devices like smartphones, tablets, and laptops, eliminating the need for internet access or cloud computing infrastructure.
In an official blog post, Google described Edge Gallery as a “practical resource to explore how the LLM Inference API can be implemented on-device,” showcasing the real-world utility of lightweight, locally-operating generative AI systems. This move reflects Google’s vision of making AI more accessible, private, and responsive, regardless of the user’s connectivity status.
A Hands-On Experience: Global Biz Outlook Puts Edge Gallery to the Test
Global Biz Outlook tested the Edge Gallery app firsthand, successfully installing and running it on an Android smartphone. We had the opportunity to experience Edge Gallery firsthand. After installing the app on an Android device, we were impressed by its clean interface, quick setup, and robust model selection.
Edge Gallery allows users to download and interact with several cutting-edge AI models, including:
- Gemma 3– Google’s full-featured language model designed for a broad range of tasks
- Gemma 3n– A lighter, faster version optimized for mobile devices
- Alibaba’s Qwen 2.5 series– Competitive models from another AI leader in the open-source community
These models are grouped into three functional categories:
- Conversations: Engage with AI like a personal assistant
- Image understanding: Upload and analyze visual content
- Prompt Lab: Engage in single-turn interactions—ask one prompt, receive one direct, concise response
Customizable AI Performance for Every User
Edge Gallery caters to both casual and power users by offering models in varying sizes and capabilities:
- Lightweight Models (~500 MB): Ideal for basic conversational tasks and quick interactions. These use minimal storage and system resources, perfect for older or low-end devices.
- High-Capacity Models (~4 GB): Designed for users who want deeper, more intelligent conversations and advanced image understanding. These larger models perform closer to flagship cloud-based AI services.
To access and download these models, users must sign in through Hugging Face—a leading platform for open-source AI. Hugging Face provides transparent access to thousands of models, while also hosting the necessary licensing and usage agreements.
Once a model is installed, it runs entirely offline, meaning the user’s data never leaves the device. This local-first approach enhances:
- Data Privacy
- Faster Response Times
- Usability in Low-Connectivity Areas
The Power of Gemma 3n: Compact, Capable, and Competitive
Among the standout models in the app is Gemma 3n, a small language model tailored for mobile devices. Despite its compact size, Gemma 3n holds its own in performance. On the LMArena leaderboard—a benchmark for language model evaluation—it achieved a score of 1293, coming in just behind:
- OpenAI’s o3-mini: 1329 points
- o4-mini: 1379 points
- Gemini 2.5 Pro: 1446 points (currently the top performer)
However, because these models are offline, they rely on pre-trained knowledge only. For instance, Gemma 3n is trained on data up to June 2024, meaning it can’t provide real-time updates or post-cutoff information.
Expanding AI Access to Everyone, Everywhere
Edge Gallery marks a monumental step toward democratizing AI, particularly for:
- Users in remote or rural regionswithout consistent internet
- Privacy-conscious individualswho want full control over their data
- Developers and researchersseeking to test models in real-world environments without relying on cloud platforms
By enabling local inference, Google is not only cutting latency and improving efficiency, but also laying the foundation for AI tools that can work anytime, anywhere—without sacrificing intelligence or adaptability.
Google’s Future Vision for AI
As Google prepares to launch Edge Gallery for iOS, its broader vision becomes clear: bring powerful AI tools closer to users than ever before. This means no more dependence on cloud servers, no more delays caused by poor networks, and no more compromises on security.
At Global Biz Outlook, we see this as the beginning of a paradigm shift—where AI is not just something we connect to, but something we carry with us. A future where every smartphone becomes a portable, private AI assistant—ready to help, create, analyze, and learn, even in airplane mode.
More Than Just an App—A Turning Point in AI
Edge Gallery isn’t just a new tool—it’s a technological milestone. It demonstrates how cutting-edge AI can be both powerful and personal, global and local, expansive and efficient.
Global Biz Outlook believes this innovation could set a new industry standard—where AI is not just smarter, but more available, secure, and user-centric than ever before.
As we await the iOS rollout, the iOS version coming soon, Google is poised to bring its offline AI capabilities to a broader audience, bridging the gap between cutting-edge technology and everyday mobile users.
One thing is certain: Google’s Edge Gallery is setting a new standard in the AI world—one that other tech giants will be watching closely.
Read more: Google Launches Edge Gallery: Offline AI Experience Now Possible on Android Smartphones