Cloud Computing

Setting new expectations: Benchmarking high-performance trading with C3 machines

Trading in capital markets demands peak compute performance, with every microsecond impacting critical decisions and market outcomes. At Google Cloud, we’re committed to providing global markets with the cutting-edge infrastructure they need to create and participate in digital exchange ecosystems. Our industry investments enable a purpose-built, cloud-native market infrastructure solution leveraging a global network that […]

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Gemini and OSS text embeddings are now in BigQuery ML

High-quality text embeddings are the engine for modern AI applications like semantic search, classification, and retrieval-augmented generation (RAG). But when it comes to picking a model to generate these embeddings, we know one size doesn’t fit all. Some use cases demand state-of-the-art quality, while others prioritize cost, speed, or compatibility with the open-source ecosystem. To

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New DNS Armor can help detect, mitigate domain name system risks

The Domain Name System (DNS) is like the internet’s phone book, automatically and near-instantly translating requests for websites and mobile apps from their domain names to the Internet Protocol addresses of the actual computers hosting them. As part of the bedrock of the internet, DNS and domain name lookup are also prime vehicles for threat

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Power up your data analysis: The Data Science Agent now supports BigQuery ML, DataFrames, and Spark

We recently announced AI-first Colab Enterprise notebook experience in BigQuery and Vertex AI to help you simplify and transform your data science and analytics workflows. Colab Enterprise notebooks come with a built-in Data Science Agent to accelerate your data science development with agentic capabilities that facilitate data exploration, transformation, and machine learning modeling. With nothing

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Power up your data analysis: The Data Science Agent now supports BigQuery ML, DataFrames, and Spark

We recently announced AI-first Colab Enterprise notebook experience in BigQuery and Vertex AI to help you simplify and transform your data science and analytics workflows. Colab Enterprise notebooks come with a built-in Data Science Agent to accelerate your data science development with agentic capabilities that facilitate data exploration, transformation, and machine learning modeling. With nothing

Power up your data analysis: The Data Science Agent now supports BigQuery ML, DataFrames, and Spark Read More »

Oklahoma DOT gains valuable information on the health of bridge inventory with data-driven insights on Google Cloud

Managing Oklahoma’s extensive network of thousands of bridges is a critical responsibility for the Oklahoma Department of Transportation (ODOT). This immense undertaking demands not only diligent engineering and maintenance, but also the ability to effectively manage and analyze vast and complex data sets, including inspection reports, material histories and real-time environmental factors. ODOT recognized the

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Powering AI commerce with the new Agent Payments Protocol (AP2)

Today, Google announced the Agent Payments Protocol (AP2), an open protocol developed with leading payments and technology companies to securely initiate and transact agent-led payments across platforms. The protocol can be used as an extension of the Agent2Agent (A2A) protocol and Model Context Protocol (MCP). In concert with industry rules and standards, it establishes a

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Announcing the new Practical Guide to Data Science on Google Cloud

Data science is undergoing a profound transformation with new tools and platforms empowering practitioners like never before. To help you navigate this evolving landscape, we’re excited to announce the release of our new ebook: A Practical Guide to Data Science with Google Cloud. Google Cloud provides extensive data science-related tooling, and this new practical guide

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