Cloud Computing

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

At Google, we are committed to being transparent about the environmental impact of our AI infrastructure, publishing metrics on the lifetime emissions of our chips — from manufacturing to powering these chips in the data center. Today, we are updating these metrics for our seventh-generation TPU, Ironwood, which demonstrates an approximately 3.7x improvement in Compute

By design, Looker is the enterprise semantic platform which ensures that every data set meets a high standard of accuracy by acting as a single source of truth and providing long-term consistency of your metrics. Today, we are introducing a complement to this governed framework: self-service Explores, to accelerate high-velocity, ad-hoc analysis. Self-service Explores allows