Cloud Computing

A flexible path to modern end-user computing with Cameyo by Google

While 90% of IT leaders indicate that the future of their end user computing (EUC) strategy is web-based, those same leaders admit that 50% of the applications their organizations rely on today are still legacy client-based apps.1 Similarly, IT leaders note that enabling end users to take advantage of AI on the endpoint is their […]

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Bringing connected and AI-powered work experiences across our platforms and devices

The way we work is rapidly transforming, and AI is quickly becoming a connection point across workflows and tasks both big and small. Whether it’s saving time by converting automated meeting notes into a follow-up email to a client, or getting help with brainstorming your next big campaign idea, Generative AI, driven by models like

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Do you detect a pattern? BigQuery’s new MATCH_RECOGNIZE function can!

Identifying patterns and sequences within your data is crucial for gaining deeper insights. Whether you’re tracking user behavior, analyzing financial transactions, or monitoring sensor data, the ability to recognize specific sequences of events can unlock a wealth of information and actionable insights.  Imagine you’re a marketer at an e-commerce company trying to identify your most

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Introducing the Emerging Threats Center in Google Security Operations

When a major vulnerability makes headlines, CISOs want to know fast if their organization is impacted and prepared. Getting the correct answer is often a time-consuming and human-intensive process that can take days or weeks, leaving open a dangerous window of unknown exposure. To help close that gap, today we’re introducing the Emerging Threats Center

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BigQuery under the hood: How Google brought embeddings to analytics

Embeddings are a crucial component at the intersection of data and AI. As data structures, they encode the inherent meaning of the data they represent, and their significance becomes apparent when they are compared to one another. Vector search is a technique that uncovers the relative meaning of those embeddings by evaluating the distances between

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How Lightricks trains video diffusion models at scale with JAX on TPU

Training large video diffusion models at scale isn’t just computationally expensive — it can become impossible when your framework can’t keep pace with your ambitions.  JAX has become a popular computational framework across AI applications, now recognized for its capabilities in training large-scale AI models, such as LLMs and life sciences models. Its strength lies

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Introducing Agent Sandbox: Strong guardrails for agentic AI on Kubernetes and GKE

Google and the cloud-native community have consistently strengthened Kubernetes to support modern applications. At KubeCon EU 2025 earlier this year, we announced a series of enhancements to Kubernetes to better support AI inference. Today, at KubeCon NA 2025, we’re focused on making Kubernetes the most open and scalable platform for AI agents, with the introduction

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GKE: From containers to agents, the unified platform for every modern workload

The past decade of cloud native infrastructure has been defined by relentless change — from containerization and microservices to the rise of generative AI. Through every shift, Kubernetes has been the constant, delivering stability and a uniform, scalable operational model for both applications and infrastructure. As Google Kubernetes Engine (GKE) celebrates its 10th anniversary, its

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