Cloud Computing

Running Snowflake on AWS means navigating two distinct sets of best practices simultaneously: AWS Well-Architected guidance for infrastructure, and Snowflake Well-Architected Framework guidance for compute, data organization, and governance. Without a unified review framework, security controls go unmapped to Snowflake configurations. Production readiness timelines stretch as teams reconcile guidance from two separate review processes, and […]

TL;DR: Antigravity 2.0: A desktop app to orchestrate multiple autonomous agents working in parallel across independent projects. Antigravity CLI: A terminal interface designed for command-line workflows and headless execution. Antigravity IDE: An editor for developers who want to write code directly alongside an agent. Antigravity SDK: A Python library for building and deploying your own

Claude Fable 5, Anthropic’s latest frontier model, is now generally available on Google Cloud. This launch is the latest proof point of our ongoing commitment to bring the industry’s latest models straight to our Agent Platform.  Claude Fable 5 brings the best of Anthropic model capabilities to all customers, with strong safeguards designed to make

The public sector has reached a critical inflection point. For years, organizations have explored what’s possible through isolated AI pilots and experimentation. Today, the question has shifted to “what creates impact?” where the focus is no longer on hypotheticals, but on achieving real productivity gains, improving services and outcomes, and advancing your mission – right

Healthcare providers manage millions of paper medical records that remain disconnected from modern clinical systems. Clinicians make decisions without full patient histories, organizations spend millions on manual data entry, and critical information stays trapped in formats that modern applications can’t read. The technical challenge is clear: how do you transform unstructured, scanned documents into standardized,

As generative AI moves from experimental pilots to massive production environments, the efficiency of your infrastructure  becomes the ultimate differentiator. One way to get the most out of it and minimize costly accelerator idle time is to leverage the Google Kubernetes Engine (GKE) Inference Gateway, which intelligently routes generative AI workloads based on real-time model

How do you prove the business value of generative AI to your teams?  Technology and finance leaders need to show the clear business value of AI projects to secure ongoing funding. While measuring return on investment (ROI) is a key part of validating your technical strategy, long-term success ultimately depends on building the organizational systems

As enterprise storage footprints scale to billions of objects, AI applications and agentic workloads are fundamentally shifting the role of storage from a passive repository to the foundation of the data platform. This is driven by a surge in unstructured model data and the billions of actions performed on those objects, including session logs and

To defend against the growing range of AI-accelerated threat actors, organizations need to be able to respond faster to outpace the adversary. Recently, we announced Google AI Threat Defense, an automated security system designed to help you continuously monitor for and stop AI-powered threats before they can impact your business. Based on Google’s own approach