Keeping Pace with AI Innovation is Both a Marathon and a Sprint

As AI becomes embedded across the enterprise, it will be tailored to specific tasks, varying by use case and department, and increasingly specialized by domain and industry.

But whether enterprises are looking to harness AI to make faster and better decisions, accelerate innovation or propel enhanced productivity, they must first re-imagine and re-architect their data center infrastructure. And they must do it against a backdrop of continuous innovation in AI tools and capabilities. 

Building a platform for sustained AI success

At its core, that means adopting modern data center CPUs, such as AMD EPYC™ processors, to maximize performance-per-watt, lower ongoing space and power utilization, and reduce ongoing licensing costs. This opens the path to scaling and accelerating time-to-results on AI adoption and builds a foundation for sustained success through tight control over ongoing operational costs.

Thanks to built-in on-chip security, AMD EPYC processors also pave the way to a trusted AI environment. Integrated at the silicon level, AMD Infinity Guard offers advanced security capabilities, such as Trusted IO for Secure Encrypted Virtualization, to help defend against internal and external threats and keep AI workloads and their data safe. At a software level, sticking with the x86 architecture instead of ARM-based solutions eliminates the need for application modification. This limits the number of potential vulnerabilities that can be introduced when rewriting code.¹

Flexibility to capitalize on continuous AI innovation

Looking beyond the operational costs of AI and into the even longer-term, the AI landscape is continuously evolving. Industry leaders in compute, networking, storage, and AI software are all innovating daily to ensure customers have access to the best emerging technology, AMD focuses on building and maintaining an open ecosystem, to ensure customers avoid proprietary lock-ins and can capitalize on advances in AI from any source. This open ecosystem approach also means simplified validation and integration, day zero support from key partners, and consistent alignment with regulatory guidelines and industry best practices. This goes hand-in-hand with a commitment to open standards, like open ethernet, the x86 ecosystem advisory group, and more, that ensure the entire industry advances together.

Similarly, AMD continues to develop open software tools, like AMD ROCm, that allow for simple deployment and development of AI tools. This approach keeps AI software flexible and open for development from any source. 

A partner for sustained success

As enterprise adoption accelerates, AMD is uniquely positioned to address AI needs regardless of infrastructure types. The AMD AI portfolio spans CPUs, GPUs, networking, open software, and rack scale solutions making AMD a trusted AI partner. Also, AMD has developed a broad ecosystem of technology partners over decades of technology leadership, which is critical for sustained, long-term success with AI.

To learn more about how AMD can deliver scalable, sustained success with AI for your enterprise, tune in to Advancing AI 2025.