Cloud Computing

Graduating the inaugural Google for Startups Accelerator: AI First cohort in the UK

The Google for Startups Accelerator: AI First UK has celebrated the graduation of its latest cohort of AI startups. The 12-week hybrid program, designed for rapid growth, began in London in April and concluded with a Demo Day and Graduation in July. Founders received mentorship from Google experts, technical support for AI technologies, and extensive […]

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Chrome brings personal and work separation to iOS users and more enterprise protections to mobile

Many organizations are embracing bring your own device models, meaning employees may be accessing resources from their browsers on unmanaged computers or phones. Chrome Enterprise already gives employees and organizations a secure and helpful way to manage users at the browser level and keep work and personal information separate, and many businesses take advantage of

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The Future is Collaborative: ChromeOS Customer Community

We’re excited to announce a new online platform for the ChromeOS Customer Community: it’s now a global, open platform accessible to our business customers. This community is designed for IT admins and professionals, along with business leaders and decision-makers, who use and deploy ChromeOS in their organizations, regardless of size. This expansion, directly inspired by

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Application monitoring in Google Cloud: Bridging manual and AI-assisted troubleshooting

As developers and operators, you know that having access to the right information in the proper context is crucial for effective troubleshooting. This is why organizations invest a lot upfront curating monitoring resources across different business units: so information is easy to find and contextualize when needed. Today we are reducing the need for this

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Announcing a new monitoring library to optimize TPU performance

For more than a decade, TPUs have powered Google’s most demanding AI training and serving workloads. And there is strong demand from customers for Cloud TPUs as well. When running advanced AI workloads, you need to be able to monitor and optimize the efficiency of your training and inference jobs, and swiftly diagnose performance bottlenecks,

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Application monitoring in Google Cloud: Bridging manual and AI-assisted troubleshooting

As developers and operators, you know that having access to the right information in the proper context is crucial for effective troubleshooting. This is why organizations invest a lot upfront curating monitoring resources across different business units: so information is easy to find and contextualize when needed. Today we are reducing the need for this

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How to enable Secure Boot for your AI workloads

As organizations race to deploy powerful GPU-accelerated workloads, they might overlook a foundational step: ensuring the integrity of the system from the very moment it turns on.  Threat actors, however, have not overlooked this. They increasingly target the boot process with sophisticated malware like bootkits, which seize control before any traditional security software can load

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Implement monitoring for Amazon EKS with managed services

In this post, we show you how to implement comprehensive monitoring for Amazon Elastic Kubernetes Service (Amazon EKS) workloads using AWS managed services. Amazon EKS offers compelling solutions with EKS Auto Mode and AWS Fargate, each designed for different use cases. This solution demonstrates building an EKS platform that combines flexible compute options with enterprise-grade

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Preview Release of the AWS SDK Java 2.x HTTP Client built on Apache HttpClient 5.5.x

The AWS SDK for Java 2.x introduces the Apache 5 SDK HTTP client which is built on Apache HttpClient 5.5.x. This new SDK HTTP client is available alongside our existing SDK HTTP clients: Apache HttpClient 4.5.x, Netty, URL Connection, and AWS CRT HttpClient. To differentiate the use of Apache HttpClient 4.5.x and Apache HttpClient 5.5.x,

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