Cloud Computing

Google Axion processors, our first custom Arm®-based CPUs, mark a major step in delivering both performance and energy efficiency for Google Cloud customers and our first-party services, providing up to 65% better price-performance and up to 60% more energy-efficient than comparable instances on Google Cloud.  We put Axion processors to the test: running Google production […]

In today’s complex threat landscape, effectively managing network security is crucial — especially across diverse environments. Organizations are looking to advanced capabilities to strengthen security, enhance threat protection, and simplify network security operations for hybrid and multicloud deployments. We’re excited to announce new capabilities in Cloud Armor, featuring more comprehensive security policies and granular network

Written by: Alden Wahlstrom, David Mainor Introduction  Google Threat Intelligence Group (GTIG) observed multiple instances of pro-Russia information operations (IO) actors promoting narratives related to the reported incursion of Russian drones into Polish airspace that occurred on Sept. 9-10, 2025. The identified IO activity, which mobilized in response to this event and the ensuing political

AI Agents are now a reality, moving beyond chatbots to understand intent, collaborate, and execute complex workflows. This leads to increased efficiency, lower costs, and improved customer and employee experiences. This is a key opportunity for System Integrator (SI) Partners to deliver Google Cloud’s advanced AI to more customers. This post details how to build,

The Google Cloud AI Hypercomputer combines AI-optimized hardware, leading software, and flexible consumption models to help you tackle any AI workload efficiently. Every three months we share a roundup of the latest AI Hypercomputer news, resources, events, learning opportunities, and more. Today, we’re excited to share the latest developments to make your AI journey faster,

Unlocking real value with AI in the enterprise calls for more than just intelligence. It requires a seamless, end-to-end platform where your model and operational controls are fully integrated. This is the core of our strategy at Google Cloud: combining the most powerful models with the scale and security required for production. Today, we are

Google Cloud Dataproc is a managed service for Apache Spark and Hadoop, providing a fast, easy-to-use, and cost-effective platform for big data analytics. In June, we announced the general availability (GA) of the Dataproc 2.3 image on Google Compute Engine, whose lightweight design offers enhanced security and operational efficiency. “With Dataproc 2.3, we have a