Cloud Computing

Under one roof: Rightmove reinvents property search with unified data

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 […]

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Build music generation into your apps with Lyria 3 models on Vertex AI

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

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Unlock efficient model deployment: Simplified Inference Operator setup on Amazon SageMaker HyperPod

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

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Smithy Java client framework is now generally available

Smithy Java client code generation is now generally available. You can use it to build type-safe, protocol-agnostic Java clients directly from Smithy models. With Smithy Java, serialization, protocol handling, and request/response lifecycles are all generated automatically from your model. This removes the need to write or maintain any of this code by hand. In this

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AI infrastructure efficiency: Ironwood TPUs deliver 3.7x carbon efficiency gains

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

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Introducing Looker self-service Explores for faster ad-hoc analysis

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

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How a leading consumer insight brand uses Dataproc to hyper-personalise faster

At RVU, we have a clear and vital mission: empower people, transform industries.  For our market-leading home management and switching brands — Confused.com, Uswitch, Tempcover, Money.co.uk, and Mojo Mortgages — transparency and accurate information are everything. Today’s consumer expects more than a simple comparison table; they want personalized recommendations tailored to their unique circumstances.  Delivering

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Conversational Analytics now available for Looker Embedded environments

Looker Embedded analytics are at the heart of many next-generation data products, enabling monetization with live metrics and customizable user experiences. In the AI era, users expect apps to be highly interactive and conversational, and for data to be contextual, accessible and intuitive. Today, we are delivering conversational analytics in Looker Embedded environments with the

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