Cloud Computing

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

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

In today’s agentic AI environments, the network has a new set of responsibilities. In a traditional application stack, the network mainly moves requests between services. But as discussed in a recent white paper, Cloud Infrastructure in the Agent-Native Era, in an agentic system the network sits in the middle of model calls, tool invocations, agent-to-agent

We are introducing Veo 3.1 Lite, Google’s most cost-effective video model on Vertex AI.  Alongside this new model, we are also launching a new, standalone Veo upscaling capability on Vertex AI to help you enhance your existing video assets. Choosing the right Veo model for your workload When integrating video generation into your applications, matching

Today, we are releasing Gemma 4 on Google Cloud. What’s new: It is, byte for byte, the most capable family of open models. Built from the same research as Gemini 3 and released under a commercially permissive Apache 2.0 license, these models move beyond chat. With context windows up to 256K, native vision and audio