Résultats de recherche pour : GPU

We’re excited to introduce LiteRT.js, the newest member of the LiteRT family! LiteRT.js is our powerful solution for running machine learning models directly in the browser, extending Google’s cross-platform edge AI runtime to the web. Built for JavaScript developers, LiteRT.js delivers state-of-the-art ML model inference performance on WebGPU and upcoming WebNN, with a fallback to […]

We’re giving admins more granular control over how mobile device management privileges are delegated. Specifically, admins can be assigned privileges for specific organizational units (OUs), adding another layer of security by scoping access only to necessary OUs. Previously available in beta, we’re now making this feature generally available, with improvements to the way devices are

Tor Browser 16.0a8 is now available from the Tor Browser download page and also from our distribution directory. This version includes important security updates to Firefox. ⚠️ Reminder: The Tor Browser Alpha release-channel is for testing only. As such, Tor Browser Alpha is not intended for general use because it is more likely to include

DiffusionGemma is an experimental text-generation model built on the Gemma 4 architecture that uses diffusion-based parallel generation instead of token-by-token autoregression, enabling much faster inference, bidirectional context awareness, and real-time self-correction while remaining deployable on consumer GPUs. Its architecture generates and refines 256-token blocks in parallel through iterative denoising, allowing it to handle complex constraint-based

Google has announced the Google Colab Command-Line Interface (CLI), a new tool that allows developers and AI agents to connect local terminals to remote Colab runtimes for frictionless execution. The lightweight CLI enables users to easily request high-powered GPUs, run local Python scripts remotely, and seamlessly retrieve artifact logs or models like fine-tuned Gemma 3

Posted by Matthew Warner, Google Product Manager This year at Google I/O we are going beyond iterative changes, towards a fundamental shift in how apps are built. Our newest tools are built for the agentic era with features that boost productivity for you as an Android developer AND supercharge the AI agents you deploy in

By Simon Cooke, Developer Relations Engineer (X) and Mayank Jain, Product Manager (X) What is Android Performance Analyzer? Android Performance Analyzer (APA) is Android’s new profiler and performance analysis tool for the Android mobile ecosystem.  APA is intended as a profiling tool for any developer building for Android who needs to make their app or game

Posted by Matthew McCullough, VP, Product Management, Android Developer Announced today during The Android Show, Android is transitioning from an operating system to an intelligence system, creating more opportunities for engagement with your apps. Through deep integration between hardware and software, Android devices will be able to handle the heavy lifting of anticipating user needs,

LiteRT is a production-ready framework designed to help mobile developers unlock the power of Neural Processing Units (NPUs), overcoming the performance and battery limitations of traditional CPU or GPU processing. By providing a unified API that abstracts away hardware complexities, it allows industry leaders like Google Meet and Epic Games to deploy sophisticated AI models

Posted by Matthew Warner, Google Product Manager Every developer’s AI workflow and needs are unique, and it’s important to be able to choose how AI helps your development. In January, we introduced the ability to choose any local or remote AI model to power AI functionality in Android Studio, and today, we’re announcing the availability