Building AI infrastructure with Google and AMD
Meet the demands of AI workloads with Google Cloud and AMD.
Featured Content
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2025 Gartner MQ - SCPS
Gartner recognizes Google's strong IaaS/PaaS, global network, cloud-native architecture, advanced data centers, and industry-leading generative AI.
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Building a Cloud Center of Excellence
If you are thinking of creating a Cloud Center of Excellence, Google advocates for a different approach.
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The IT leader's guide to optimizing your cloud budget
Migrating your mission-critical workloads to Google Cloud VMs running on AMD EPYC™ processors is the first step toward digital transformation.
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Browse Our Library
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2025 State of AI Infrastructure report
Generative AI is mainstream: 98% of organizations are exploring it, and 39% are in production. To understand the key infrastructure challenges and opportunities, we surveyed over 500 technology leaders. This research reveals insights into building a robust, secure, and cost-effective AI-ready cloud.
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Leveraging CPUs for AI Inference Workloads with Google Cloud C3D and C4D Virtual Machines
Transform AI inference with Google Cloud C3D and C4D Virtual Machines. Powered by AMD EPYC™ processors, these VMs offer the scalable, cost-effective performance your diverse AI workloads demand. Learn how to maximize existing infrastructure, optimize spend, and gain the agility needed for complex AI tasks, from NLP to computer vision.
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Compute Engine Tau T2D: Industry Leading Price-Performance AMD Virtual Machines with x86 Compatibility
Investments in the cloud continue to grow at an astounding rate. According to Gartner, by 2024, more than 45% of IT spending on system infrastructure, infrastructure software, application software, and business process outsourcing will shift from traditional solutions to cloud solutions.
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Leveraging Cloud FinOps to measure the business value realized by your cloud transformation
Google Cloud has been partnering with customers to pinpoint the tangible business value derived from their cloud transformation. These studies have resulted in a collection of quantitative evidence across countries, industries and customers. This whitepaper aims to spotlight key insights that can be drawn from the data.
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Spareroom Uses AMD C3D VMS To Quickly and Reliably Help Roommates Find Each Other
Migrating to Google Cloud C3D virtual machines powered by 4th Gen AMD EPYC™ processors enables SpareRoom to provide a better experience for people looking for rooms or roommates.
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Palexy delivers scalable retail video analytics with Google Cloud VMs featuring AMD EPYC™ CPUs
Read this case study to learn more about how Palexy delivered 50 percent better performance and 30 percent cost savings for retail analytics.
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Revolutionizing CI/CD Pipelines with Powerful AMD VMs
Salesforce boosts performance and reduces costs for its CRM platform with GCP instances powered by AMD, helping grow its business worldwide.
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Confidential AMD VMs - a security breakthrough for medical device software
Processing data that contains highly confidential and sensitive information in a regulated environment makes implementing confidential AMD VMs an easy decision. In fact, in many ways, it will be transformational for our SaMD projects and the clients we serve. We are now able to offer encryption of sensitive data in transit, at rest, and while in use.
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5 Reasons Why AMD EPYC™ Processors Matter For Google Cloud
Google Cloud virtual machine instances powered by AMD provide competitive performance and price-performance, power-efficient processing, confidential computing and a range of options to help customers optimize their workloads for cost-efficiency.
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