Channel partners are seeing strong customer interest in AI. But those customers often struggle to operationalize it.
Make no mistake, this is a growing opportunity. It’s a way for you to increase revenue and grow your business by helping customers bridge the gap between AI experimentation and scalable business value.
The key to success lies in the platform you choose. That’s where Dell AI Platform with AMD, a part of the Dell AI Factory, comes in. Dell’s AI-optimized solution provides you with a modular, versatile, and secure infrastructure foundation.
You can leverage this platform to help your customers operationalize AI across training, fine-tuning, and inference use cases, while maintaining flexibility, security, and long-term operational control.
A recent Omdia study shows that the Dell AI Platform with AMD on-prem solution delivers up to 65 percent lower total cost of ownership (TCO) over 4 years[1] compared to enterprise public cloud alternatives. That makes it a highly cost-effective choice for organizations looking to maximize their investment.
How do you start the AI modernization conversation with your customers?
Determining the right AI infrastructure foundation for your customers starts with informed conversations around AI modernization. That means focusing on practical solutions and measurable business outcomes.
Your customers need confidence that the platform they’re investing in can scale with their needs rather than force a one-size-fits-all approach. They also need to know it’s built on an open foundation, not a restrictive one.
You can get the conversation started by introducing six key concepts that demonstrate the ongoing value of combining your unique expertise with Dell AI Platform with AMD:
1. AI success requires a modular foundation - Your customers need the flexibility to start with single-node pilots if that’s what works best for their business in the beginning. But the ability to grow is key. Over time, they’ll need to easily scale from initial deployments to rack-scale environments.
2. Open and flexible infrastructure matters - You want to help your customers support diverse frameworks, workloads, and deployment modes. That means building on open software and flexible architecture that can adapt as AI requirements evolve.
3. A consistent foundation is key - A unified foundation is essential for managing and governing enterprise-scale deployments rather than building fragmented, one-off solutions. A common, open platform gives your customers the flexibility to support all of their use cases in a way that fits their specific requirements.
4. The right platform supports a full AI lifecycle, not just one phase - Dell AI Platform with AMD is designed to support training, fine-tuning, and inference across edge, core data center, and CoLo environments.
5. Maintaining operational control and security is essential - AI innovation isn’t enough. Your customers also need governance, resource management, secure deployment, and control over sensitive data. Dell’s trusted on-premises infrastructure and AMD’s software capabilities help support enterprise-ready AI operations with control across the lifecycle.
Deploying a platform that meets these requirements helps you turn your customers’ AI complexity into profitable services. You can use Dell AI Platform with AMD to create strategic value through architecture guidance, deployment, integration, lifecycle services, and long-term expansion opportunities.
To get started, visit dell.com/partners now.
[1] Omdia economic white paper The Cost of Inferencing LLMs On Dell AI Optimized Infrastructure with AMD, March 2026
