Cloud Computing

Build a multi-agent KYC workflow in three steps using Google’s Agent Development Kit and Gemini

Know Your Customer (KYC) processes are foundational to any Financial Services Institution’s (FSI) regulatory compliance practices and risk mitigation strategies. KYC is how financial institutions verify the identity of their customers and assess associated risks. But as customers expect instant approvals, FSIs face pressure to streamline their manual, time-consuming and error-prone KYC processes.  The good […]

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C4D now GA: up to 80% higher performance for your business critical workloads

We’re excited to announce the general availability of our next-generation C4D virtual machine family. Powered by 5th Gen AMD EPYC processors (Turin) paired with Google Titanium’s latest advancements, C4D provides customers with meaningful performance improvements — up to 80% higher throughput for web serving and 30% better performance for general computing workloads compared to the

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Simplify your multi-cloud strategy with Cloud Location Finder, now in preview

As cloud environments expand beyond traditional architectures to include multiple clouds, managing your infrastructure effectively becomes more complex. Imagine easily accessing consistent and up-to-date location information across different cloud providers, so your multi-cloud applications are designed and optimized with performance, security, and regulatory compliance in mind. Today, we are making this a reality with Cloud

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How Google Cloud is securing open-source credentials at scale

Credentials are an essential part of modern software development and deployment, granting bearers privileged access to systems, applications, and data. However, credential-related vulnerabilities remain the predominant entry point exploited by threat actors in the cloud. Stolen credentials “are now the second-highest initial infection vector, making up 16% of our investigations,” said Jurgen Kutscher, vice-president, Mandiant

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Save early and often with multi-tier checkpointing to optimize large AI training jobs

As foundation model training infrastructure scales to tens of thousands of accelerators, efficient utilization of those high-value resources becomes paramount. In particular, as the cluster gets larger, hardware failures become more frequent (~ few hours) and recovery from previously saved checkpoints becomes slower (up to 30 minutes), significantly slowing down training progress. A checkpoint represents

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How good is your AI? Gen AI evaluation at every stage, explained

As AI moves from promising experiments to landing core business impact, the most critical question is no longer “What can it do?” but “How well does it do it?”.  Ensuring the quality, reliability, and safety of your AI applications is a strategic imperative. To guide you, evaluation must be your North Star—a constant process that

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How to benchmark and scale your Google Cloud Managed Service for Kafka deployment

Businesses that rely on real-time data for decision-making and application development need a robust and scalable streaming platform, and Apache Kafka has emerged as the leading solution. At its core, Kafka is a distributed streaming platform that allows applications to publish and subscribe to streams of records, much like a message queue or enterprise messaging

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“We’re not worried about compute anymore”: The future of AI models

Ryan Donovan and Ben Popper sit down with Jamie de Guerre, SVP of Product at Together AI, to discuss the evolving landscape of AI and open-source models. They explore the significance of infrastructure in AI, the differences between open-source and closed-source models, and the ethical considerations surrounding AI technology. Jamie emphasized the importance of leveraging

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Improving Bigtable single-row read throughput by 70%: How we did it

As a scalable, distributed, high-performance, Cassandra- and HBase-compatible NoSQL database, Bigtable processes more than 5 billion sustained queries per second and has more than 10 Exabytes of data under management. At this scale, we optimize Bigtable for high-throughput and low-latency reads and writes.  In a previous blog post, we shared details of how our single-row

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