Cloud Computing

Like most organizations, Google Cloud is continually engaging with customers, partners, and policymakers to deliver technology capabilities that reflect their needs. When it comes to digital sovereignty solutions, Google Cloud has worked with customers for nearly a decade.  Today, we’re pleased to announce significant technical and commercial updates on our sovereign cloud solutions for customers, […]

Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale.  Machine learning on mobile devices enables amazing app experiences. But how will your model truly perform across the vast, diverse, and ever-changing landscape of mobile devices? Manually testing at

Cloud Run has become a go-to app hosting solution for its remarkable simplicity, flexibility, and scalability. But the age of AI-assisted development is here, and going from idea to application is faster and more streamlined than ever. Today, we’re excited to make AI deployments easier and more accessible by introducing new ways to deploy your

Today, we are introducing the next wave of generative AI media models on Vertex AI: Imagen 4, Veo 3, and Lyria 2.  We’ve already seen customers generate stunning, photorealistic images with Imagen 3, Google’s image generation model. Customers have taken these images and transformed them into high quality videos and assets with Veo 2. We’ve

Today at Google I/O, we’re expanding Gemini 2.5 Flash and Pro model capabilities that help enterprises build more sophisticated and secure AI-driven applications and agents: Thought summaries: For enterprise-grade AI, we’re bringing clarity and auditability with thought summaries. This feature organizes a model’s raw thoughts — including key details and tool usage — into a

A big thank you to Fran Hinkelmann and Aaron Wanjala for their contributions and support in making this blog post happen. After a period of intense development, Spring AI 1.0 has officially landed, bringing a robust and comprehensive solution for AI engineering right to your Java ecosystem. This isn’t just another library; it’s a strategic

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