When Google Cloud announced its sustainability partnership initiative last October, the goal was to develop real-world solutions that could make an immediate impact – not in the next decade, but right now. The initiative brought technology partners together to help global businesses and governments accelerate sustainability programs, inform decisions on future growth, and better understand […]

We published another episode of “VM End to End,” which is a series of curated conversations between a “VM skeptic” and a “VM enthusiast”. Every episode, join Brian, Carter, and a special guest as they explore why VMs are some of Google’s most trusted and reliable offerings, and how VMs benefit companies operating at scale […]

Developers and ML engineers face a variety of challenges when it comes to operationalizing Spark ML workloads. One set of challenges may come in the form of infrastructure concerns, for example, how to provision infrastructure clusters in advance, how to ensure that there are enough resources to run different kinds of tasks like data preparation, […]

Without a central place to manage models, those responsible for operationalizing ML models have no way of knowing the overall status of trained models and data. This lack of manageability can impact the review and release process of models into production, which often requires offline reviews with many stakeholders.  Earlier this week we announced Vertex […]

At Google Cloud, we believe that democratizing access to fresh, consistent, enterprise data is the key to driving digital and cultural transformation. This means empowering everyone to leverage rich, governed data sets and harness the power of data — without learning new tools or building specialized skills. This is why we are excited to provide […]