---
title: AI Infrastructure Is Not One-Size-Fits-All and Why That Matters
description: AI infrastructure isn’t one-size-fits-all—and assuming it is could cost you performance, security, and time to market. AMD’s Ravi Kuppuswamy shares how enterprises are balancing on-prem and cloud, securing massive data flows and adapting to smaller, distributed AI models. Learn why flexibility, standards, and data-center CPUs are critical to AI time to market and performance at scale.
---

On Demand Webcast:  
AI Infrastructure Is Not One-Size-Fits-All and Why That Matters

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AI infrastructure isn’t one-size-fits-all—and assuming it is could cost you performance, security, and time to market. AMD’s Ravi Kuppuswamy shares how enterprises are balancing on-prem and cloud, securing massive data flows and adapting to smaller, distributed AI models. Learn why flexibility, standards, and data-center CPUs are critical to AI time to market and performance at scale.

 Topics in the discussion include:

- AI Workloads: It’s Not Just LLMs
- Flex Out, Flex In: Hybrid Deployment Models
- Data Integrity & Security in AI
- Standardization + Kubernetes
- Agentic AI + CPU Efficiency
- Scaling with Open Standards (UAL)

 Total Viewing time is approximately 13 minutes

 

 

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### Ravi Kuppuswamy

###### SVP of Server Product and Engineering - AMD

![stephen_foskett-768x768-modified](https://webinars.techstronglearning.com/hs-fs/hubfs/stephen_foskett-768x768-modified.png?width=150&height=150&name=stephen_foskett-768x768-modified.png "stephen_foskett-768x768-modified")

### Stephen Foskett

###### President, Tech Field Day - The Futurum Group

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