Introducing App Hub Cloud applications depend on a complex interaction of services and cloud resources that they depend on — think databases, load balancers, and Kubernetes clusters. Developers spend significant time and effort navigating and classifying these to understand their composition and dependencies. This can be not only time-consuming, but fragile. While you may start […]

Confidential Computing can help organizations process sensitive data in the cloud with strong guarantees around confidentiality. We’ve continued to make strides in maturing this important technology, and are collaborating with industry leaders including Intel, AMD, and NVIDIA on advancing Confidential Computing solutions.  Today at Google Cloud Next, we are excited to announce advancements in our […]

Over the past year, vector databases have skyrocketed in popularity, and have become the backbone of new semantic search and generative AI experiences. Developers use vector search for everything from product recommendations, to image search, to enhancing LLM-powered chatbots with retrieval augmented generation (RAG). PostgreSQL is one of the most popular operational databases on the […]

Generative AI is changing the way we create, innovate, and interact with the world. From generating realistic images and videos to composing music and writing code, gen AI models are pushing the boundaries of what’s possible. But achieving the heights of AI’s promises hinges on a scalable storage foundation. At Google Cloud, we’re committed to […]

Eighty percent of data leaders believe that the lines between data and AI are blurring. Using large language models (LLMs) with your business data can give you a competitive advantage, but to realize this advantage, how you structure, prepare, govern, model, and scale your data matters.  Tens of thousands of organizations already choose BigQuery and […]

Generative AI offers the opportunity to build more interactive, personalized, and complete experiences for your customers, even if you don’t have specialized AI/ML expertise. Since the introduction of foundation models to the broader market, the conversation has turned swiftly from the art of the possible to the art of the viable. How can developers build […]

We live in one of the most exciting eras of computing. Large-scale generative models have expanded from the realms of research exploration to the fundamental ways we interact with technology, touching education, creativity, software design, and much more. The performance and capabilities of these foundation models continues to improve with the availability of ever-larger computation, […]

Earlier this year we announced Gemma, an open weights model family built to enable developers to rapidly experiment with, adapt, and productionize on Google Cloud. Gemma models can run on your laptop, workstation, or on Google Cloud through either Vertex AI or Google Kubernetes Engine (GKE) using your choice of Cloud GPUs or Cloud TPUs. […]

Enterprises operate a large and growing number of APIs — more than 200 on average — each a potential front door to sensitive data. Even more challenging can be figuring out which of these APIs are not actively managed “shadow APIs”. Born from well-intended development initiatives and legacy systems, shadow APIs operate without proper oversight […]

APIs and integrations between applications form the digital nervous system of modern architectures. APIs are the pathways that connect your intelligence (AI models and apps) to data sources spread across different environments and systems, and integrations drive intelligent actions across your SaaS workflows. However, building these APIs and integrations often requires specialized expertise, requiring a […]