Scientific inquiry has always been a journey of curiosity, meticulous effort, and groundbreaking discoveries. Today, that journey is being redefined, fueled by the incredible capabilities of AI. It’s moving beyond simply processing data to actively participating in every stage of discovery, and Google Cloud is at the forefront of this transformation, building the tools and […]
Engineering teams use Ray to scale AI workloads across a wide range of hardware, including both GPUs and Cloud TPUs. While Ray provides the core scaling capabilities, developers have often managed the unique architectural details of each accelerator. For Cloud TPUs, this included its specific networking model and Single Programming Multiple Data (SPMD) programming style.
A more native experience for Cloud TPUs with Ray on GKE Read More »
Last year, we announced the public preview of Cost Anomaly Detection, an AI-powered product designed to eliminate one of the biggest anxieties of using the Cloud: unexpected costs. The goal was to provide a safety net that automatically identifies unusual spikes in spending, helping you catch issues before they become financial problems. Today, we are
Announcing the General Availability of Smarter, AI-powered Cost Anomaly Detection Read More »
Ray is an OSS compute engine that is popular among Google Cloud developers to handle complex distributed AI workloads across CPUs, GPUs, and TPUs. Similarly, platform engineers have long trusted Kubernetes, and specifically Google Kubernetes Engine, for powerful and reliable infrastructure orchestration. Earlier this year, we announced a partnership with Anyscale to bring the best
Evolving Ray and Kubernetes together for the future of distributed AI and ML Read More »
From a new kind of vote to a preview of the upcoming redesign, check out what’s been happening at Stack Overflow over the past month.
What’s new at Stack Overflow: November 2025 Read More »
Welcome to the second Cloud CISO Perspectives for October 2025. Today, Jeanette Manfra, senior director, Global Risk and Compliance, shares her thoughts on the role of AI in risk management. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the website
Cloud CISO Perspectives: AI as a strategic imperative to manage risk Read More »
As a DevOps engineer, Site Reliability Engineer, or application developer, how many times have you wrestled with complex queries to get the insights you need? Have you wished that there was an easier way to troubleshoot, identify root causes, and verify fixes, without being a SQL expert? We hear you loud and clear. That’s why
Introducing the Log Analytics query builder: Easier analytics for your logs Read More »
Cloud-native development is constantly evolving, and at Google, we’re dedicated to empowering developers and operators with tools that are both powerful and intuitive. Today, we’re thrilled to dive into how the Gemini CLI and Google Kubernetes Engine (GKE) are coming together with the new open-sourcing of the GKE Gemini CLI extension. This extension brings GKE
Why GKE & Gemini CLI are better together Read More »
The demand for AI inference infrastructure is accelerating, with market spend expected to soon surpass investment in training the models themselves. This growth is driven by the demand for richer experiences, particularly through support for larger context windows and the rise of agentic AI. As organizations aim to improve user experience while optimizing costs, efficient
Accelerating AI inferencing with external KV Cache on Managed Lustre Read More »
Remember when online shopping meant typing specific keywords into a rigid search bar and endlessly scrolling through irrelevant results? Traditional e-commerce search, while common, helps only about 1 in 10 consumers find exactly what they’re looking for. For designers and developers, this opens up possibilities to deliver on what users expect in the AI era.
