Organizations everywhere have been choosing to build on Google Kubernetes Engine (GKE), driven by benefits like higher developer productivity and lower infrastructure costs. And one of the fastest growing GKE architectures is the deployment of stateful workloads like relational databases, inside GKE containers. Stateful workloads have additional requirements over stateless workloads, including the need for […]

As more organizations move to Google Cloud, they need to consider their storage architecture—particularly for applications that they plan to lift and shift. The fact is that many legacy applications can’t use cloud-based object storage like Cloud Storage, and instead require a file- or block-based offering.  Today, we’re announcing Filestore Enterprise, a fully managed cloud-native […]

Data is a company’s most important input and asset and one of the most critical tasks is protecting it. At the same time, customers tell us they wish it were easier to get the right level of protection for their data. That can be hard to do, whether your data is on-premises or in the […]

This article is the next step in the series of PyTorch on Google Cloud using Vertex AI. In the preceding article, we fine-tuned a Hugging Face Transformers model for a sentiment classification task using PyTorch on Vertex Training service. In this post, we show how to deploy a PyTorch model on the Vertex Prediction service […]