Cloud Computing

Last year we announced Google Axion processors, our first custom Arm®-based CPUs. We built Axion to address our customers’ need for general-purpose processors that maximize performance, reduce infrastructure costs, and help them meet their sustainability goals.  Since then, Axion has shaken up the market for cloud compute. Customers love its price-performance — up to 65% […]

Today’s innovation isn’t born in a lab or at a drafting board; it’s built on the bedrock of AI infrastructure. AI workloads have new and unique demands — addressing these requires a finely crafted combination of hardware and software for performance and efficiency at scale, and the ease-of-use and flexibility to access this infrastructure however

Envision a future where every customer interaction is not only seamless and personalized, but delivers enduring experiences that build brand loyalty.  Today, AI agents are already transforming the ways businesses engage with customers — including advanced conversational agents.  In fact, these conversational AI agents are enabling new levels of hyper-personalized, multimodal conversations with customers, and

We recently announced Gemini 2.5, our most intelligent AI model yet. Gemini 2.5 models are now thinking models, capable of reasoning before responding, resulting in dramatically improved performance. This transparent step-by-step reasoning is crucial for enterprise trust and compliance. Our first model in this family, Gemini 2.5 Pro, available in public preview on Vertex AI,

Enterprise customers are coming to Google Cloud to transform their businesses with AI, and many are turning to our seasoned experts at Google Cloud Consulting to help implement these innovations.  Working alongside our many partners, Google Cloud Consulting teams are helping customers identify the right use cases for AI, deliver them safely and securely, and

AI agents are a major leap from traditional automation or chatbots. They can execute complex workflows, from planning and research, to generating and testing novel ideas. But to scale, businesses need an AI-ready information ecosystem that can work across silos, easy ways to create and adopt agents, and enterprise-grade security and compliance. That’s why we

Today at Google Cloud Next, we’re thrilled to announce Firestore with MongoDB compatibility, built from the ground up by Google Cloud. It provides developers with an additional choice for their demanding document database workloads. MongoDB compatibility has been a highly-requested capability from Firestore’s existing community of over 600,000 active developers. With this launch, Firestore developers

Today we’re unveiling new AI capabilities to help cloud developers and operators at every step of the application lifecycle. We are doing this by: Putting applications at the center of your cloud experience, abstracting away the infrastructure complexities of the traditional cloud model. Now you can design, observe, secure, and optimize at the application level,

Generative AI continues to capture our imagination and promises to transform every industry. Its transformative potential hinges on integrating powerful models like Gemini, with the most contextually-relevant enterprise data. Google Cloud is leading this transformation, not only by delivering the gen AI technologies themselves, but also by embedding those technologies directly into operational databases. For

The AI era is here, fundamentally reshaping industries and demanding unprecedented network capabilities for training, inference and serving AI models. To power this transformation, organizations need global networking solutions that can handle massive capacity, seamless connectivity, and provide robust security.  At Next 25, we’re addressing these critical needs and enabling customers to build and deliver