Cloud Computing

As the world transitions from prototyping AI solutions to deploying AI at scale, efficient AI inference is becoming the gating factor. Two years ago, the challenge was the ever-growing size of AI models. Cloud infrastructure providers responded by supporting orders of magnitude more compute and data. Today, agentic AI workflows and reasoning models create highly […]

GenAI is transforming the way people think about their work and giving businesses of all sizes an opportunity to re-imagine everything from their internal processes to the way they engage with their customers. These new capabilities are evolving at a rapid pace, and that creates new challenges for IT and security teams to protect their

This post was co-written with JB Brown from Smartsheet. Organizations are often seeking ways to enhance developer productivity while maintaining cost-efficiency. AI-powered coding assistants are effective solutions to accelerate development cycles, but implementing these solutions at scale while managing costs presents unique challenges. Roo Code, an AI-powered autonomous coding agent located directly in developers’ editors,

Today, we’re excited to announce the general availability (GA) of GKE Data Cache, a powerful new solution for Google Kubernetes Engine to accelerate the performance of read-heavy stateful or stateless applications that rely on persistent storage via network attached disks. By intelligently utilizing high-speed local SSDs as a cache layer for persistent disks, GKE Data

Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous instances, and pinpointing performance bottlenecks.  At Google Cloud, we’re focused on making AI training easier, whatever your scale. We’re continuously evolving

Organizations depend on fast and accurate data-driven insights to make decisions, and SQL is at the core of how they access that data. With Gemini, Google can generate SQL directly from natural language — a.k.a. text-to-SQL. This capability increases developer and analysts’ productivity and empowers non-technical users to interact directly with the data they need.