Cloud Computing

Why Stochastic Rounding is Essential for Modern Generative AI

In computing’s early days of the 1940s, mathematicians discovered a flawed assumption about the behavior of round-off errors. Instead of canceling out, fixed-point arithmetic accumulated errors, compromising the accuracy of calculations. A few years later, “random round-off” was proposed, which would round up or down based on a random probability proportional to the remainder. In

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How Google Public Sector and Google DeepMind can power the Genesis Mission and a new era of scientific discovery

The White House’s Genesis Mission has set a bold ambition for our nation: to double our scientific productivity within the decade and harness artificial intelligence (AI) to accelerate the pace of discovery. This requires a profound transformation in our national scientific enterprise, one that seamlessly integrates high-performance computing, world-class experimental facilities, and AI. The challenge

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Getting AI to write good SQL: Optimizing the AlloyDB AI natural language API for your use case

Today’s AI capabilities provide a great opportunity to enable natural language (NL) interactions with your enterprise data through applications using text and voice. In fact, in the world of agentic applications, natural language is rapidly becoming the interaction standard. That means agents need to be able to issue natural language questions to a database and

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Announcing advanced governance capabilities for Vertex AI Agent Builder

At Google Cloud, we continue to make critical investments to Vertex AI Agent Builder, our comprehensive and open platform, enabling you to build faster, scale efficiently, and govern with enterprise-grade security. Today, with the integration of the Cloud API Registry, we’re excited to bring enhanced tool governance capabilities to Vertex AI Agent Builder. With this

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Automate AI and HPC clusters with Cluster Director, now generally available

The complexity of the infrastructure behind AI training and high performance computing (HPC) workloads can really slow teams down. At Google Cloud, where we work with some of the world’s largest AI research teams, we see it everywhere we go: researchers hampered by complex configuration files, platform teams struggling to manage GPUs with home-grown scripts,

Automate AI and HPC clusters with Cluster Director, now generally available Read More »

Automate AI and HPC clusters with Cluster Director, now generally available

The complexity of the infrastructure behind AI training and high performance computing (HPC) workloads can really slow teams down. At Google Cloud, where we work with some of the world’s largest AI research teams, we see it everywhere we go: researchers hampered by complex configuration files, platform teams struggling to manage GPUs with home-grown scripts,

Automate AI and HPC clusters with Cluster Director, now generally available Read More »

Google named a Leader in The Forrester Wave™: AI Infrastructure Solutions, Q4 2025

For most organizations, the question is no longer if they will use AI, but how to scale it from a promising prototype into a production-grade service that drives business outcomes. In this age of inference, competitive advantage is defined by your ability to serve useful information to users around the world at the lowest possible

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