At Google I/O 2025, in addition to software and AI model upgradesGoogle Hardware PlatformThe layout of the company has also attracted a great deal of attention.
This time not only launched the seventh generation TPU, but also joined hands with Samsung to create Android XR headset.
and unveiled a new AI video platform Google BeamIn the past, the AI native device has become the most popular device in the world, and is now officially moving into the "AI Native Device" generation.
Below is a breakdown of how these devices support Gemini modeling and AI applications from 3 hardware highlights.
TPU v7: Another Breakthrough in Google's Self-Research AI Chip
The TPU (Tensor Processing Unit) has been designed for AI computing since its introduction.
And the latest seventh-generation TPU v7 "Ironwood". It's more of a substantial upgrade.
Up to 10 times more efficient than the previous generation, with a single Pod More Coda 42.5 xflops of reasoning.
TPU v7 Architecture and Performance Highlights
TPU v7 adopts a new generation of matrix computing architecture.
Optimized for large language models such as Gemini 2.5 Pro.
It supports higher bandwidth and multi-node parallel processing, and can handle larger contextual data streams.
Enhance the efficiency of AI models for semantic understanding, inference, and multimodal data analysis.
If you are interested in the practical computing needs of such AI models.
You can readGoogle Gemini Model ExplainedIn addition, you will learn about the differences in architectural design between the Pro and Flash models.
Android XR devices: the gateway to AI visual real-time experiences
Google has partnered with Samsung and Qualcomm to launch the Android XR platform.
and demonstrated the first head-mounted device Project MoohanIt has become one of the main devices for integrating AI models and multimodal perception.
XR Device Features and Application Scenarios
The Android XR device features a camera, microphone, speakers, and an embedded display.
Allows users to interact with the outside world in real time while wearing it.
Combined with the Gemini model, users can ask about the scene they're seeing, instantly translate, or activate a task assistant via voice, as if they were accompanied by an AI assistant in the field.
This technology is backed by Google Instant Interactive TechnologyThe AI can read the camera, understand commands, and respond to the user.
XR's potential for combining search and creation
XR devices can also be integrated into the AI search process.
For example, by comparing product information through the camera and enabling the Google Search AI SummaryIn addition, the new mode of synchronizing online and on-site inquiries has been realized.
Google Beam: AI-powered immersive video communications platform
Google Beam This is a new hardware concept that focuses on the "AI-first" video communication experience.
It uses six camera arrays, combined with AI models for 3D compositing and projection on a light field display.
Create a three-dimensional dialog interface as if you were in the field.
Google Beam's application technology and cooperation layout
- Hardware: Ability to capture and construct 3D images in real time.
- Software IntegrationThe Gemini model is used to generate real-time AI responses based on the user's tone of voice, facial expressions, and conversations.
Beam will be used for corporate communications, distance learning and highly interactive meeting scenarios.
In the future, it may even become an advanced version of Google Meet.
If you are interested in the potential of integrating AI models with these creation and communication features.
You can readGoogle AI Creation Tools OverviewLearn how content generation tools such as Flow and VO3 work best with your hardware.
Conclusion: AI native hardware will redefine human-machine interaction
From TPUs to XRs to AI communication devices.
Google is actively promoting "AI-native" device design.
To equip the hardware itself with the ability to understand, respond, and reason.
The hardware is no longer just a carrier, but part of the AI capability.
In the future, whether you're editing a movie on your computer, making an instant inquiry in your eyeglasses, or having a conversation with an AI assistant in a video game, you'll be able to get the most out of your AI assistant.
Google's hardware platforms will play a key role in driving the future of interactive experiences!
