Cloud Computing

Decision makers and builders today face a constant challenge: managing rising cloud costs while delivering the performance their customers demand. As applications evolve to use scale-out microservices and handle ever-growing data volumes, organizations need maximum efficiency from their underlying infrastructure to support their growing general-purpose workloads. To meet this need, we’re excited to announce our […]

Today’s frontier models, including Google’s Gemini, Veo, Imagen, and Anthropic’s Claude train and serve on Tensor Processing Units (TPUs). For many organizations, the focus is shifting from training these models to powering useful, responsive interactions with them. Constantly shifting model architectures, the rise of agentic workflows, plus near-exponential growth in demand for compute, define this

Today, we are thrilled to announce C4A metal, our first bare metal instance running on Google Axion processors, available in preview soon. C4A metal is designed for specialized workloads that require direct hardware access and Arm®-native compatibility.  Now, organizations running environments such as Android development, automotive simulation, CI/CD pipelines, security workloads, and custom hypervisors can

As machine learning models continue to scale, a specialized, co-designed hardware and software stack is no longer optional, it’s critical. Ironwood, our latest generation Tensor Processing Unit (TPU), is the cutting-edge hardware behind advanced models like Gemini and Nano Banana, from massive-scale training to high-throughput, low-latency inference. This blog details the core components of Google’s

If you’re a developer, you’ve seen generative AI everywhere. It can feel like a complex world of models and advanced concepts. It can be difficult to know where to actually start. The good news is that building your first AI-powered application is more accessible than you might imagine. You don’t need to be an AI expert

Artificial intelligence is reshaping our world – accelerating discovery, optimising systems, and unlocking new possibilities across every sector. But with its vast potential comes a shared responsibility. AI can be a powerful ally for transforming businesses and reducing cost. It can help organizations minimize carbon emissions, industries manage energy use, and scientists model complex climate

Many developers are prototyping AI agents, but moving to a scalable, secure, and well-managed production agent is far more complex.  Vertex AI Agent Builder is Google Cloud’s comprehensive and open platform to build, scale, and govern reliable agents. As a suite of products, it provides the choice builders need to create powerful agentic systems at

Executive Summary Based on recent analysis of the broader threat landscape, Google Threat Intelligence Group (GTIG) has identified a shift that occurred within the last year: adversaries are no longer leveraging artificial intelligence (AI) just for productivity gains, they are deploying novel AI-enabled malware in active operations. This marks a new operational phase of AI