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Google Cloud Next ‘26 took place this week in Las Vegas, and the energy was incredible as we welcomed over 32,000 leaders, developers, and partners to explore the Agentic Era with us. Across three keynotes, 25 spotlights, 700+ breakout sessions, 490+ sponsorships, our Showcase & Expo tech playground, and innumerable impromptu networking and collaboration moments, you could really feel the exci
At Google Cloud, every day is Developer Day, but none so much as day 2 of Google Cloud Next, when we hold the developer keynote. This year’s topic? An in-depth look at Gemini Enterprise Agent Platform . This year’s theme? Planning a marathon for 10,000 participants through the Las Vegas Strip. OK, let’s run with it. Gemini Enterprise Agent Platform: A warm up As the evolution of Vertex AI, Agent P
Last year at Google Cloud Next ‘25, we asked you to imagine a new future for AI. At Next ‘26, the question before you is how do you move AI into production across your entire enterprise? According to Google Cloud CEO Thomas Kurian, the answer is straightforward: You need a unified stack, with “chips that are designed for models, models that are grounded in your data, agents and applications that a
Google has introduced a host of new automated functions into Workspace, all of which are driven by Workspace Intelligence, its new AI system.
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. What's new : Today, we’re bringing partner-built agents from our Agent Marketplace directly into the Agent Gallery inside the Gemini Enterprise app. This create
Google's newest TPUs are faster and cheaper than the previous versions. But the company is still embracing Nvidia in its cloud — for now.
Google brings Gemini-powered "auto browse" capabilities to Chrome for enterprise users, letting workers automate tasks like research, data entry, and more.
Gemini Enterprise Agent Platform takes an interesting approach: It is geared for IT and technical users.
The AI Overviews will offer instant summaries pulled from across multiple emails.
Small businesses are the backbone of the global economy. With 400 million SMBs worldwide and 36 million in the U.S. alone, they provide 50% of global employment. Now, with Google Cloud AI, they’re scaling faster, operating more efficiently, and delivering better results for their customers. For years SMBs have been working with cutting edge products like Google Workspace, Google Ads, Search, YouTu
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. GDC brings Google Cloud to wherever you need it — in your own data center or at the edge. It
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. Why it matters: Storage is no longer just a place to keep data. When training AI models, storage is the engine that feeds data-hungry accelerators. During AI infere
Companies are shifting from gen AI that simply answers questions to autonomous agents that perceive, reason, and act on their behalf. Attempting to scale these agents on legacy stacks exposes structural failures that can lead to fractured governance, a persistent trust gap, and broken reasoning loops, all while causing costs to spiral. To solve this, we’re introducing the Agentic Data Cloud : an A
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. This shift gives agents the reliable context they need to transform raw data into action and unlock all enterprise
Traditional data catalogs were built as manual inventories for technical users, focusing on table structures rather than the deep context that AI agents need. When agents lack business semantics and data relationships, this triggers hallucinations, high latency, and stale insights. To address this problem, we are evolving Dataplex into a dynamic, always-on Knowledge Catalog that serves as the univ
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. As AI agents and services surge, your core applications remain as vital as ever. To thrive in this rapidly evolving lands
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. For decades, data architectures have been built with a structural wall that breaks this loop, separating t
Today at Google Cloud Next, we are unveiling a more proactive Gemini Cloud Assist, our AI-assisted cloud operations platform. This update shifts your Google Cloud operations from manual workflows to a proactive, intelligent experience supported by a powerful ecosystem of agents. Why it matters: A new agentic architecture enables Gemini Cloud Assist to handle the heavy lifting of your cloud managem
The AI era requires a fundamental rethink of physical cloud architecture — networking, in particular. With foundational model parameters growing exponentially, traditional general-purpose networks are reaching their breaking points. To fuel the next decade of machine learning, Google designed Virgo Network, a new megascale AI data center fabric that embraces a "campus-as-a-computer" philosophy, an
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. Why it matters: IT leaders and builders are faced with balancing compute investments and resources between agentic AI and the general purpose use cases, including the web servers, databases, and enterprise applica
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. Today at Google Cloud Next, we are introducing new AI infrastructure capabilities that help you innovate faster, deliver compelling user and customer experiences, and optimize for cost and energ
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. Why it matters: Kubernetes has rapidly become the operating system for the AI era, with GKE now powering AI workloads for all of our
From vibe-coded and large-scale apps to AI models and agents, Cloud Run delivers on-demand compute with zero overhead and pay-per-use pricing for all of your workloads. Last year, the number of external active developers and applications on Cloud Run doubled, with more new customers and apps coming to Cloud Run in 2025 than in its first 6 years combined! Today, we’re announcing new features and im
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. This week at Google Cloud Next, we are thrilled to share how we are reimagining the business intelligence (BI) stack with Looker for the AI era, starting with a deeper integration with BigQuery. Our product strategy is focused
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. For over a decade, BigQuery’s continuous innovations have helped tens of thousands of organizations build a scalable data a
The era of agentic AI is accelerating from human- to machine-speed operations, while also creating profound stress on legacy technology infrastructure. This new reality pushes foundational systems to their limits: agents generate thousands of internal messages and complex queries, spawning more agents, all of which can rapidly overwhelm traditional networks and databases, and expose new security v
Today, we announced the preview of Spanner Omni , a downloadable version of Spanner, that expands its industry-leading distributed database capabilities beyond Google Cloud. This enables enterprises to run Spanner in their own data centers, across clouds, or on a laptop — bringing its virtually unlimited scalability, high availability, strong consistency, enterprise-grade security, and multi-model
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. This allows organizations to unlock the full potential of their data, ensuring every AI application and agent is ground
The agentic web — where autonomous AI agents reason, plan, and execute complex transactions using the open web and industry standard protocols — aims to create an autonomous customer experience. While these agents can significantly enhance online interactions, they also introduce new abuse and fraud vectors, creating unique challenges for security platforms. This rise in sophisticated automation r
Google Cloud is honored to present the 2026 Partner of the Year winners! These awards recognize partners who have displayed a commitment to excellence by leveraging Google Cloud technology to deliver innovative solutions that drive customer success. This group represents a breadth of industries and countries, showcasing the power of collaboration to produce impactful results and revolutionize work
The main stage at Google Cloud Next is where the vision is set. This year, we’re bridging the gap between those massive "Cloud-scale" announcements and your local terminal. We are thrilled to announce the Next ‘26 developer livestreams, a daily broadcast live from the show floor at Google Cloud Next. We aren't just reporting the news, we’re deconstructing it into actionable demos and immediate wor
Editor’s note: In this post, we share joint insights from Raj Gulani, Director of Product Management for Network Experiences, and Dan Rayburn, Industry analyst with 30-plus years of experience covering streaming media. In our combined experience observing and building within the media industry, one truth remains constant: the landscape is always evolving. Audience expectations for flawless, broadc
With Cloud Next '26 rapidly approaching, we couldn't be more excited to showcase how Google Cloud empowers organizations to scale smarter, faster, and more efficiently. Be sure to anchor your experience by attending the Infrastructure spotlight by Mark Lohmeyer , VP & GM of AI and Computing Infrastructure, where he will detail the future of our AI and compute ecosystem. And to learn more about