Cloud Computing

The AI field is constantly evolving. With recent advancements in generative AI in particular, models are larger and more complex, pushing organizations to distribute tasks efficiently across more machines. One powerful approach is to run ray.io, an open-source framework for distributed AI/ML workloads, on Google Kubernetes Engine (GKE), our managed container orchestration service. To make […]

In today’s data-driven landscape, organizations grapple with the challenge of extracting valuable insights from rapidly expanding volumes of information. Graph databases excel at modeling complex relationships, while full-text search efficiently retrieves pertinent information from unstructured data. However, maintaining separate systems for these capabilities can lead to operational overhead and delayed insights. Spanner Graph offers a

Earlier this year, tens of thousands of developers gathered in Las Vegas for Google Cloud Next ’24, which culminated in hundreds of sessions and over 200 announcements. During the Developer Keynote, we showcased how Gemini can help with the shopping experience of an online store. Let’s dive into this demo and how it all worked

Whether you are administering traditional VMs, GKE clusters, or a combination of the two, it’s important to automate as many of your operational tasks as possible in the most cost-effective manner, and where possible, get rid of them altogether! Hyperdisk is a next-generation network attached block storage service, and Hyperdisk Storage Pools are a pre-purchased

The first step towards protecting sensitive data begins with knowing where it exists. Continuous data monitoring can help you stay one step ahead of data security risks and set proper access controls to ensure data is used for the right reasons while minimizing unnecessary friction.  Google Cloud’s Sensitive Data Protection can automatically discover sensitive data

With the introduction of BigQuery’s physical storage billing model, BigQuery users now have more control over their storage costs, unlocking potential savings, especially for large deployments. But as we showed in a previous blog post, opting for this model can yield different size reductions for different data sets. You might be wondering why the range

For coffee lovers, the pursuit of the perfect cup can feel like an endless quest. With a countless array of beans, roasts, and flavor profiles to choose from, finding the one can be overwhelming. But what if there was a way to simplify the search? Enter Coffee Nirvana, an AI-powered solution that harnesses the power