{"id":3937,"date":"2025-06-02T21:50:28","date_gmt":"2025-06-02T13:50:28","guid":{"rendered":"https:\/\/techduker.kinsta.cloud\/?p=3937"},"modified":"2025-06-02T21:50:29","modified_gmt":"2025-06-02T13:50:29","slug":"google-hardware-2025","status":"publish","type":"post","link":"https:\/\/techduker.kinsta.cloud\/en\/ai\/google-hardware-2025\/","title":{"rendered":"Introducing Google's Hardware Platform\uff5cTPU, XR Device, and Beam Technology Highlights"},"content":{"rendered":"<p class=\"wp-block-paragraph\">At Google I\/O 2025, in addition to software and AI model upgrades<strong>Google Hardware Platform<\/strong>The layout of the company has also attracted a great deal of attention.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This time not only launched the seventh generation TPU, but also joined hands with Samsung to create Android XR headset.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">and unveiled a new AI video platform <a href=\"https:\/\/blog.google\/technology\/research\/project-starline-google-beam-update\/\" rel=\"noopener\">Google Beam<\/a>In 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.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Below is a breakdown of how these devices support Gemini modeling and AI applications from 3 hardware highlights.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>TPU v7: Another Breakthrough in Google's Self-Research AI Chip<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The TPU (Tensor Processing Unit) has been designed for AI computing since its introduction.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And the latest seventh-generation <strong>TPU v7 \"Ironwood\".<\/strong> It's more of a substantial upgrade.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Up to 10 times more efficient than the previous generation, with a single <a href=\"https:\/\/zh.wikipedia.org\/zh-tw\/POD_(%E7%A8%8B%E5%BA%8F%E8%AE%BE%E8%AE%A1)\" rel=\"noopener\">Pod<\/a> More Coda 42.5 <a href=\"https:\/\/zh.wikipedia.org\/zh-tw\/%E6%AF%8F%E7%A7%92%E6%B5%AE%E9%BB%9E%E9%81%8B%E7%AE%97%E6%AC%A1%E6%95%B8\" rel=\"noopener\">xflops<\/a> of reasoning.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>TPU v7 Architecture and Performance Highlights<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">TPU v7 adopts a new generation of matrix computing architecture.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Optimized for large language models such as Gemini 2.5 Pro.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It supports higher bandwidth and multi-node parallel processing, and can handle larger contextual data streams.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Enhance the efficiency of AI models for semantic understanding, inference, and multimodal data analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If you are interested in the practical computing needs of such AI models.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You can read<a href=\"https:\/\/techduker.kinsta.cloud\/en\/ai\/google-gemini-models\/\">Google Gemini Model Explained<\/a>In addition, you will learn about the differences in architectural design between the Pro and Flash models.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Android XR devices: the gateway to AI visual real-time experiences<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Google has partnered with Samsung and Qualcomm to launch the Android XR platform.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">and demonstrated the first head-mounted device <strong>Project Moohan<\/strong>It has become one of the main devices for integrating AI models and multimodal perception.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>XR Device Features and Application Scenarios<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The Android XR device features a camera, microphone, speakers, and an embedded display.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Allows users to interact with the outside world in real time while wearing it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">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.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This technology is backed by <a href=\"https:\/\/techduker.kinsta.cloud\/en\/ai\/gemini-live-google-meet-translation\/\">Google Instant Interactive Technology<\/a>The AI can read the camera, understand commands, and respond to the user.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>XR's potential for combining search and creation<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">XR devices can also be integrated into the AI search process.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, by comparing product information through the camera and enabling the <a href=\"https:\/\/techduker.kinsta.cloud\/en\/ai\/google-search-ai-mode\/\">Google Search AI Summary<\/a>In addition, the new mode of synchronizing online and on-site inquiries has been realized.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Google Beam: AI-powered immersive video communications platform<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Google Beam<\/strong> This is a new hardware concept that focuses on the \"AI-first\" video communication experience.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It uses six camera arrays, combined with AI models for 3D compositing and projection on a light field display.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Create a three-dimensional dialog interface as if you were in the field.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Google Beam's application technology and cooperation layout<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Hardware<\/strong>: Ability to capture and construct 3D images in real time.<\/li>\n\n\n\n<li><strong>Software Integration<\/strong>The Gemini model is used to generate real-time AI responses based on the user's tone of voice, facial expressions, and conversations.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Beam will be used for corporate communications, distance learning and highly interactive meeting scenarios.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the future, it may even become an advanced version of Google Meet.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If you are interested in the potential of integrating AI models with these creation and communication features.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You can read<a href=\"https:\/\/techduker.kinsta.cloud\/en\/ai\/flow-ai-filmmaking-tools\/\">Google AI Creation Tools Overview<\/a>Learn how content generation tools such as Flow and VO3 work best with your hardware.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion: AI native hardware will redefine human-machine interaction<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">From TPUs to XRs to AI communication devices.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Google is actively promoting \"AI-native\" device design.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To equip the hardware itself with the ability to understand, respond, and reason.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The hardware is no longer just a carrier, but part of the AI capability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">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.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Google's hardware platforms will play a key role in driving the future of interactive experiences!<\/p>","protected":false},"excerpt":{"rendered":"<p>\u5728 Google I\/O 2025 \u4e0a\uff0c\u9664\u4e86\u8edf\u9ad4\u8207 AI \u6a21\u578b\u7684\u5347\u7d1a\u5916\uff0cGoogle \u786c\u9ad4\u5e73\u53f0\u7684\u4f48\u5c40\u4e5f\u5f15\u8d77\u9ad8\u5ea6 [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":3968,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[157,156],"class_list":["post-3937","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-ai-","tag-google-i-o"],"_links":{"self":[{"href":"https:\/\/techduker.kinsta.cloud\/en\/wp-json\/wp\/v2\/posts\/3937","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techduker.kinsta.cloud\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techduker.kinsta.cloud\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techduker.kinsta.cloud\/en\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/techduker.kinsta.cloud\/en\/wp-json\/wp\/v2\/comments?post=3937"}],"version-history":[{"count":3,"href":"https:\/\/techduker.kinsta.cloud\/en\/wp-json\/wp\/v2\/posts\/3937\/revisions"}],"predecessor-version":[{"id":4034,"href":"https:\/\/techduker.kinsta.cloud\/en\/wp-json\/wp\/v2\/posts\/3937\/revisions\/4034"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techduker.kinsta.cloud\/en\/wp-json\/wp\/v2\/media\/3968"}],"wp:attachment":[{"href":"https:\/\/techduker.kinsta.cloud\/en\/wp-json\/wp\/v2\/media?parent=3937"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techduker.kinsta.cloud\/en\/wp-json\/wp\/v2\/categories?post=3937"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techduker.kinsta.cloud\/en\/wp-json\/wp\/v2\/tags?post=3937"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}