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Rearchitecting Your Infrastructure for Generative AI

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Your company is ready for generative AI… is your cloud?

Leading your company’s AI strategy? This ebook provides a roadmap to help you optimize your tech stack for high-performance, high-demand AI workloads.

Rearchitecting your infrastructure for generative AI

As generative AI catapults businesses into the future, IT leaders face a challenge: implementing resilient infrastructure capable of meeting the performance demands of these revolutionary technologies.

This ebook provides a guide to help technical leaders architect robust, scalable, and cost-effective generative AI systems.

What you’ll discover inside:

  • Actionable strategies to evaluate AI platforms
  • Best practices for optimizing resources with cost-efficient AI technologies
  • Examination of cost, scalability, security, and performance dimensions
  • Paths for development and deployment using cutting-edge technologies like Vertex AI and Google Kubernetes Engine (GKE)

"Google Cloud is a true partner that gives us the stability and flexibility to support critical business applications needed to drive innovation... The migration to Google Cloud has been seamless and was a key project in our merger integration and modernization efforts as Keurig Dr Pepper.”

— John Gigerich, SVP and CIO, Keurig Dr Pepper.


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