Cloud Computing

Today, at the Apache Iceberg Summit in San Francisco, we are announcing the preview of read and write interoperability between BigQuery and Iceberg-compatible engines, including Trino, Spark, and others in Apache Iceberg tables in Google-managed Iceberg REST Catalog. With this new capability, you get the benefits of enterprise-grade native storage for your lakehouse without sacrificing […]

Building and serving models on infrastructure is a strong use case for businesses. In Google Cloud, you have the ability to design your AI infrastructure to suit your workloads. Recently, I experimented with Google Kubernetes Engine (GKE) managed DRANET while deploying a model for inference with NVIDIA B200 GPUs on GKE. In this blog, we

Claude Mythos Preview, Anthropic’s newest and most powerful model, is now available in Private Preview to a select group of Google Cloud customers, as part of Project Glasswing.  The availability of Claude Mythos Preview on Vertex AI underscores our commitment to offer our customers access to models from frontier AI labs. Combined with the enterprise-grade

In a cloud-first world, traditional IP-based defenses are no longer enough to protect your perimeter. As services migrate to shared infrastructure and content delivery networks, relying on static IP addresses and FQDNs can create security gaps. Because single IP addresses can host multiple services, and IPs addresses can change frequently, we are introducing domain filtering

At Rightmove, we want to make home moving easier for everyone, from house hunters and homeowners to estate agents and brokers. Behind every search, listing, and connection on our platform lies a complex network of users, partners, and properties — and we’ve built our data and AI strategy to serve all three. To deliver on

What’s new: Lyria 3, Google’s family of music generation models, is available on Vertex AI in public preview. With Lyria 3 models, you can generate high-quality and high-fidelity stereo audio from text prompts and from images with a vocal support.  To meet your diverse needs, we offer two distinct models via the API: Lyria 3

Lyria 3, Google’s family of music generation models, is designed to give you granular control over vocals, instrumentation, and arrangement. So we  spent weeks testing against every musical genre and use case we could imagine. We put together this guide to share exactly what we learned and how you can get the best results. What

Amazon SageMaker HyperPod offers an end-to-end experience supporting the full lifecycle of AI development—from interactive experimentation and training to inference and post-training workflows. The SageMaker HyperPod Inference Operator is a Kubernetes controller that manages the deployment and lifecycle of models on HyperPod clusters, offering flexible deployment interfaces (kubectl, Python SDK, SageMaker Studio UI, or HyperPod