Meet the demands of AI workloads with Google Cloud and AMD.
Learn about why Google was named a Magic Quadrant Leader and which solutions are best for your business.
If you are thinking of creating a Cloud Center of Excellence, Google advocates for a different approach.
Migrating your mission-critical workloads to Google Cloud VMs running on AMD EPYC™ processors is the first step toward digital transformation.
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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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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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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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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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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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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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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