Google Built an AI Translator That Works Without the Internet on a $80 Raspberry Pi

Google built an AI translator that runs entirely offline on a Raspberry Pi

Google and Antigravity built an offline AI translator prototype on a Raspberry Pi 5 running Gemma 4 E2B. No internet needed. Open source on GitHub. Not a product announcement. Google and its Antigravity team have built a prototype AI translator that runs entirely offline on a Raspberry Pi 5. The Gemma Translator uses Gemma 4 E2B, the smallest model in Google's open-weight family, to process speech locally without any cloud connection. The device includes a microphone and speaker inside a custom 3D-printed enclosure, creating a self-contained translation device that works anywhere regardless of connectivity. The project is open source on GitHub. Google launched Gemma 4 in April with four model sizes, and the E2B edge variant was specifically designed to run on hardware as small as a Raspberry Pi or Jetson Nano. The Translator prototype is the most tangible demonstration of what that means in practice. Most AI translation tools, including Google Translate, require a cloud connection to process speech. Running everything on-device eliminates that dependency, which matters for travellers in areas with poor connectivity, organisations handling sensitive conversations, and emergency responders operating without infrastructure. This is a technology showcase, not a product announcement. Google has not said it plans to sell the device or integrate it into an existing product. But it points toward a future where AI assistants do not always need data centres to be useful. Antigravity launched as Google's agentic development platform at I/O, and the Translator is one of the first projects built with it that targets non-developers: a physical device that does one thing well, without an internet connection, on hardware that costs under $100. As open models continue to shrink while becoming more capable, devices like this could eventually appear in travel gadgets, accessibility tools, classrooms, or disaster response kits. The Raspberry Pi 5 costs about $80. The Gemma 4 E2B model is free under Apache 2.0. The 3D-printed case and the code are open source. The components for a working offline translator are now available to anyone who wants to build one.

Google Antigravity just built an AI translator that works without the internet

Google has shown off a new AI project that could make language barriers a little less intimidating, and it doesn't need an internet connection to do it. The company has introduced the Gemma Translator, a compact prototype built in collaboration with Antigravity. Unlike most AI translation tools that rely on cloud processing, this device runs entirely offline using Gemma 4 E2B, Google's lightweight open model. Everything happens locally on the device, making it both portable and independent of an internet connection. The prototype is powered by a Raspberry Pi 5 and includes a microphone and speaker inside a custom 3D-printed enclosure, creating a self-contained translator you can carry almost anywhere. AI translation, without the cloud The demonstration shows just how far smaller AI models have come. Instead of depending on remote servers, the Gemma Translator processes speech directly on the Raspberry Pi, translating conversations on-device. That approach offers a few obvious advantages. Travelers could use it in places with unreliable connectivity, while businesses or organizations handling sensitive conversations wouldn't have to send voice data to the cloud. Running everything locally could also reduce latency, making conversations feel more natural. Although Google hasn't positioned the project as a commercial product, it highlights what's now possible with efficient AI models that can operate on affordable hardware. A glimpse of what's coming next The Gemma Translator is more of a technology showcase than a product announcement. Still, it points toward a future where AI assistants don't always need powerful data centers to be useful. As open models continue to shrink while becoming more capable, devices like this could eventually find their way into travel gadgets, accessibility tools, classrooms, or even emergency response kits where internet access isn't guaranteed. For now, Google's latest prototype serves as a reminder that some of AI's most interesting innovations are being squeezed into surprisingly tiny devices that can work almost anywhere.