We are officially moving past the era of one-size-fits-all AI. Enterprises today require highly specialized, role-specific tools to drive real productivity — but they cannot afford to sacrifice security, oversight, or control to get there.

ChromeOS devices currently receive stable updates every four to six weeks, but this schedule is becoming faster. Starting September 8, 2026, Google will move Chrome to a two-week release cycle with version 153, significantly increasing update frequency.

 Hello Everyone! We’ve just released Chrome 148 (148.0.7778.49) for Android to a small percentage of users. It’ll become available on Google Play over the next few days. You can find more details about early Stable releases here.This release includes stability and performance improvements.

Most users install Chrome extensions and rarely review them afterward. Over time, these extensions can accumulate, using system resources and potentially accessing more data than necessary.

Zupfadtazak is a term that surfaces in metaphysical research, fringe physics, and alternative energy discussions. It is often associated with unconventional theories that explore beyond mainstream scientific frameworks.

    Hi, everyone! We’ve just released Chrome 147 (147.0.7727.111) for Android. It’ll become available on Google Play over the next few days. This release includes stability and performance improvements. You can see a full list of the changes in the Git log.

The Stable channel has been updated to 147.0.7727.116/117 for Windows/Mac  and 147.0.7727.116 for Linux, which will roll out over the coming days/weeks. A full list of changes in this build is available in the LogSecurity updates will be updated here shortly. Interested in switching release channels? Find out how here.

 The Extended Stable channel has been updated to 146.0.7680.208 for Windows and Mac which will roll out over the coming days/weeks. A full list of changes in this build is available in the log. Interested in switching release channels? Find out how here.

Hi everyone! We’ve just released Chrome Stable 148 (148.0.7778.47) for iOS; it’ll become available on App Store in the next few hours.This release includes stability and performance improvements. You can see a full list of the changes in the Git log.

Hi everyone! We’ve just released Chrome Beta 148 (148.0.7778.49) for Android. It’s now available on Google Play.You can see a partial list of the changes in the Git log. For details on new features, check out the Chromium blog, and for details on web platform updates, check here.

Hi everyone! We’ve just released Chrome Beta 148 (148.0.7778.48) for iOS; it’ll become available on App Store in the next few days.You can see a partial list of the changes in the Git log. If you find a new issue, please let us know by filing a bug.

For years, Google’s Tensor Processing Units (TPUs) have been the silent workhorses behind the scenes, powering everything from basic search to the massive Gemini models we use today. But as we move from chatbots to Agentic AI that can autonomously plan and execute multi-step tasks, the hardware requirements are changing.

For years, Google’s Tensor Processing Units (TPUs) have been the silent workhorses behind the scenes, powering everything from basic search to the massive Gemini models we use today. But as we move from chatbots to Agentic AI that can autonomously plan and execute multi-step tasks, the hardware requirements are changing.

If 2025 was the year of experimenting with AI, 2026 is the year of putting it to work. Google is shifting its entire cloud and infrastructure strategy to support Agents: autonomous digital task forces that can manage everything from security triaging to complex code migrations.

If 2025 was the year of experimenting with AI, 2026 is the year of putting it to work. Google is shifting its entire cloud and infrastructure strategy to support Agents: autonomous digital task forces that can manage everything from security triaging to complex code migrations.

In all our years of tracking the Chromium repositories, we have never seen a single baseboard spawn this many offshoots. To put it in perspective, a typical “prolific” baseboard might see 8 to 10 variants.

In all our years of tracking the Chromium repositories, we have never seen a single baseboard spawn this many offshoots. To put it in perspective, a typical “prolific” baseboard might see 8 to 10 variants.

According to the official Chromium Dash schedule, the stable release of ChromeOS 147 was slated for yesterday, April 21st. As of this morning, we are still waiting for the green light.

According to the official Chromium Dash schedule, the stable release of ChromeOS 147 was slated for yesterday, April 21st. As of this morning, we are still waiting for the green light.

In the early days of generative AI, building safe and reliable business tools took massive engineering effort and a high tolerance for trial and error. We helped solve that with Vertex AI, our trusted AI development platform.

To act at the speed of business, AI agents must operate in fast and trusted reasoning loops. They need to “think” by reasoning across both your historical context and your live operational reality. Only by understanding this complete, real-time picture can they “do” — taking immediate action.

Traditional lakehouses were engineered for the era of reporting, not the high-velocity, multimodal demands of AI agents. To bridge this gap, architecture must evolve into an AI-native foundation — one that replaces batch processing with continuous feedback loops and live data streams.

Today at Google Cloud Next, we’re announcing new capabilities in Google Distributed Cloud (GDC) that bring Gemini and our advanced AI stack to wherever your data is, so you don’t need to compromise between AI innovation and sovereignty. This will serve as a catalyst for a sovereign neocloud architecture.

Today, we announced the preview of Spanner Omni, a downloadable version of Spanner, that expands its industry-leading distributed database capabilities beyond Google Cloud.

While generative AI sparked a revolution, the true paradigm shift is the rapid evolution from standalone AI models to multi-agent autonomous systems. In this new era, the network transcends basic connectivity to become the critical integration layer for your agentic enterprise.

At Google Cloud Next, we are announcing innovations across every layer of our storage stacks — performance, intelligence, and management — to ensure your data is as fast and as useful as the AI models, apps and agents you are building.

aside_block The AI era demands a new security era. Organizations are facing the dual challenge of harnessing the potential of AI while defending against its malicious use, and Google Cloud can help you adapt and thrive.

Succeeding in the agentic era requires a transformation in your data strategy: moving from human-scale to agent-first workloads, evolving from reactive intelligence to proactive action, and shifting from raw data to semantic knowledge that agents can use to reason accurately.

By combining the analytical depth of Looker with Google’s Agentic Data Cloud, the potential to transform how we model, interact with, and act on our data appears limitless.

At Google Cloud Next, we’re announcing a range of compute capabilities to enable your core general purpose and AI workloads for the agentic world with higher performance and lower costs.

Editor’s note: This is an adapted transcript of Thomas’ keynote remarks for Next ‘26 where we are announcing a number of new innovations including: Gemini Enterprise Agent Platform, a comprehensive platform to build, scale, govern, and optimize agents.

This week at Google Cloud Next ‘26, we are sharing the evolution of Google Kubernetes Engine (GKE), delivering leading performance, efficiency, security, and scale for your most demanding and complex workloads, and the next generation of AI and agentic applications.

AI is evolving from answering questions to reasoning and taking action. Companies who want to lead in today’s agentic era require computing infrastructure designed and optimized for these new requirements.

In the agentic era, the role of enterprise data is shifting from a passive resource to a dynamic System of Action. That’s why we announced the Agentic Data Cloud — a unified architecture that integrates models, analytics, and operational databases into a single, AI-native system.

Today we’re excited to announce the next generation of our FinOps product suite to help our customers increase operational efficiency, better understand their costs, and control them with Spend Caps.