AI Adoption is a Multiyear Journey. And No Enterprise can do it Alone.

Building enterprise readiness to capitalize on the enormous potential of AI is a challenge of almost unprecedented complexity and scale.

Enterprises face the massive task of integrating multiple data sources, applications, and legacy systems just to prepare the raw material that AI needs. Data center capabilities must also be thoroughly reassessed against the new and unique demands of AI workloads. A process further complicated by the fact that AI projects typically involve many rounds of experimentation and iterative improvement. Achieving full value from an AI initiative first time around is rare; AI capabilities typically evolve gradually.

The inherently complex and iterative nature of enterprise AI adoption means data center infrastructure planning must reflect a strategic, long-term perspective. That planning must anticipate growth in terms of data volumes and compute power requirements. And it must account for the fact that both AI technology and business needs are constantly evolving, and that the regulatory environment could also shift

Infrastructure alone is not enough

The way forward involves more than adopting a robust, efficient and scalable infrastructure. It demands a partner with a broad portfolio and deep relationships across key technology players. One who is well positioned to be a trusted advisor that can deliver sustained value throughout an enterprise’s ongoing AI transformation journey.

AMD offers the broadest end-to-end AI compute portfolio, spanning CPU, GPU and FPGA solutions, all supported by an open ecosystem. Relying on a single vendor for a wide range of AI products is valuable on its own, but there are additional advantages in gaining access to AMD’s experts across the technical ecosystem. This winning combination of solutions and expertise lends itself to leading cluster-level design and product integration.

We are focused on collaborating with customers to deliver right-sized, industry-specific AI solutions tailored to their needs. Our decades of deep, applied knowledge and systems-level executions means we have a strong track record of converting successful real-world workload tests, into scalable production deployments that deliver rapid payback and long-term value.

This has shown value for countless enterprise leaders in recent years, including companies like Shell, Salesforce, and Nissan Motors. While many companies see advantages in specific workloads like AI, HPC, and data analytics, an end-to-end portfolio allows organizations to build synergies across product types and workloads, like AMD EPYC™ and AMD Instinct™ for data center computing and AMD Ryzen™ AI for end user AI PCs. 

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 reliable long-term AI partner

Partnering with AMD means teaming up with a stable technology leader that continually invests in research and development and consistently delivers on product roadmaps. This is why leading cloud service providers like Google Cloud, AWS, and Oracle carry a range of AMD technology-based offerings that provide unique advantages for their customers. For example, AWS customers that choose currently available AMD EPYC™ 9004-based instances can average double the performance and reduce their cloud OPEX by 37% across popular enterprise workloads.

Enterprises can take peace of mind that the infrastructure choices made today will be adaptable enough to support new and changing requirements, wherever their multi-year AI journey takes them. 

To learn more about navigating your multi-year journey with AI and the benefits of partnering with AMD, watch the replay of Advancing AI 2025