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Small and midsize businesses jumpstart their AI transformations with Gemini Enterprise

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

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Google Cloud10 days agoCloud

Announcing Spanner Omni: Your infrastructure, Google’s innovation

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

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Google Cloud10 days agoCloud

New innovations in Google Distributed Cloud

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

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Google Cloud10 days agoCloud

Storage innovations to accelerate your AI workloads at Next ‘26

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

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What’s new in the Agentic Data Cloud: Powering the System of Action

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

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Google Cloud10 days agoCloud

The future of data lakehouse: Open and interoperable for the agentic era

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

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What’s new with the Cross-Cloud Network at Next ‘26

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

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Google Cloud10 days agoCloud

Converging operational and analytical data for AI transformation

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

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Introducing the Google Cloud Knowledge Catalog

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

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Cross-cloud infrastructure innovation for the agentic enterprise

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

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Gemini Cloud Assist: Proactive cloud operations that work for you, even before you ask

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

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What’s new with compute: Scaling core and agentic workloads

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

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