Data is the fuel for AI, and organizations are racing to leverage enterprise data to build AI agents, intelligent search, and AI-powered analytics for productivity, deeper insights, and a competitive edge. To power their data clouds, tens of thousands of organizations already choose BigQuery and its integrated AI capabilities. This decade requires  AI-native, multimodal, and […]

When it comes to AI, inference is where today’s generative AI models can solve real-world business problems. Google Kubernetes Engine (GKE) is seeing increasing adoption of gen AI inference. For example, customers like HubX run inference of image-based models to serve over 250k images/day to power gen AI experiences, and Snap runs AI inference on […]

Today at Google Cloud Next ‘25, we’re announcing a major step in making Looker the most powerful platform for data analysis and exploration,by enhancing it with powerful AI capabilities and a new reporting experience, all built on our trusted semantic model — the foundation for accurate, reliable insights in the AI era. Starting today, all […]

The high-performance storage stack in AI Hypercomputer incorporates learnings from geographic regions, zones, and GPU/TPU architectures, to create an agile, economical, integrated storage architecture. Recently, we’ve made several innovations to improve accelerator utilization with high-performance storage, helping you to optimize costs, resources, and accelerate your AI workloads: Rapid Storage: A new Cloud Storage zonal bucket […]

Supporting customers where they want to be is a core value at Google Cloud, and a big part of the reason that we have partnered with Oracle — so that you can innovate faster with the best of Google and the best of Oracle.  This week at Google Cloud Next, we announced significant expansions to […]

As organizations continue to prioritize cloud-first strategies to accelerate innovation and gain competitive advantage, legacy databases  remain a bottleneck by hindering modernization and stifling growth with unfriendly licensing, complex agreements, and rigid infrastructure.  That’s why this week at Google Cloud Next, we’re announcing that Database Migration Service (DMS) is extending its comprehensive database modernization offering […]

As an object storage service, Google Cloud Storage is popular for its simplicity and scale, a big part of which is due to the stateless REST protocols that you can use to read and write data. But with the rise of AI and as more customers look to run data-intensive workloads, two major obstacles to […]

For decades, businesses have wrestled with unlocking the true potential of their data for real-time operations. Bigtable, Google Cloud’s pioneering NoSQL database, has been the engine behind massive-scale, low-latency applications that operate at a global scale. It was purpose-built for the challenges faced in real-time applications, and remains a key piece of Google infrastructure, including […]

At Google Cloud Next, we introduced H4D VMs, our latest machine type for high performance computing (HPC). Building upon existing HPC offerings, H4D VMs are designed to address the evolving needs of demanding workloads in industries such as manufacturing, weather forecasting, EDA, and healthcare and life sciences. H4D VMs are powered by the 5th Generation […]

Government agencies rely on IT providers to provide secure, compliant, and efficient technology to help complete their vital missions. At the same time, cost-savings and productivity are taking center stage. These priorities – lower cost with better security and productivity – may seem at odds, but with the right cloud provider, they don’t have to […]