Cloud Computing

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.

Handwritten documents are still an important form of data capture in agribusiness. Paper-based handwritten documents can be the result of business culture, lack of internet connectivity, lack of mobile devices or computers, or environmental conditions in the field or in an industrial setting. Because of the physical nature of the document, there might be a

You heard at Next ‘25 that native support for the Cassandra Query Language (CQL) API in Spanner is available in preview, providing near-zero code-change application migration, along with a suite of complementary tools for zero-downtime data migration.  Spanner is known for its robust SQL support, ACID transactions, and change data capture (CDC), provided as a

At Google Cloud Next 25, we announced the general availability of Database Center, an AI-powered unified fleet management solution that simplifies all aspects of database fleet management including monitoring, optimization, and security.  Database Center replaces fragmented tools, complex scripts, APIs, and other error-prone workflows that companies use to monitor their database fleets, delivering an integrated

Google Cloud Marketplace – a universal catalog of solutions from Google and our partners – is an integral part of how we go-to-market with our valued partner ecosystem.  We are excited to expand Google Cloud Marketplace – most notably and recently, with AI Agent Marketplace, a new category that enables customers to easily discover, buy,

For AI-powered agents to perform useful, real-world tasks, they need to reliably access tools and up-to-the-minute information that lives outside the base model. Anthropic’s Model Context Protocol (MCP) is designed to address this, providing a standardized way for agents to retrieve that crucial, external context needed to inform their responses and actions. This is vital