By  Morgan Ammirati-Robert / 26 Aug 2026 / Topics: Artificial Intelligence (AI) , Modern infrastructure , Hardware , Hybrid cloud

AI strategy often starts with models, data, and applications. But the results organizations’ AI initiatives can realistically deliver are ultimately shaped by the infrastructure underneath. Legacy servers can add cost, footprint, and operational friction — just as teams are asked to support hybrid cloud, enterprise AI, analytics, and traditional business workloads at the same time.
AMD addresses that pressure with data center platforms built on AMD EPYC™ processors. These platforms help organizations modernize legacy environments with fewer servers, lower power and cooling demands, and the performance needed to run mixed workloads securely and at scale. For IT leaders, this moves infrastructure decisions from a back-office constraint to a business enabler.
As AI evolves, CPUs are required to do more than support infrastructure. Agentic AI workflows need powerful CPUs to run agents, host GPUs, and execute the general-purpose services agents rely on. This includes web, caching, applications, databases, storage, and orchestration layers that keep AI systems moving.
AMD EPYC™ Server CPUs are built to handle the intensive demands of AI workloads. 6th Gen AMD EPYC™ 9006 Series Server CPUs include options with up to 256 cores and 512 threads, advanced memory bandwidth, PCIe Gen 6 connectivity, and platform security features (these features vary by platform).
Why do these capabilities matter? Because AI performance is not just about accelerator capacity; it’s about moving data efficiently, supporting concurrent services, and keeping the larger environment responsive.
Not every workload needs the same compute profile. That is why the AMD EPYC™ portfolio spans multiple purpose-built variants for modern data center deployments.
General-purpose applications, inference, HPC, databases, and AI orchestration place different demands on compute, memory, I/O, and security. For organizations managing a mix of AI and traditional workloads, the breadth of the AMD EPYC™ portfolio creates room to align infrastructure to the actual job at hand. Teams are empowered to right-size their infrastructure choices, instead of forcing every workload into the same architecture.
As infrastructure becomes more distributed and AI workloads become more sensitive, security needs to be foundational — not an add-on.
AMD offers advanced security capabilities across the 6th Gen EPYC™ platform, including enhanced root of trust with RSA 4K and PQC support, physical and side-channel attack mitigations, FIPS 140-3 Level 1, confidential computing, and AMD SEV Trusted I/O.
For enterprise teams, these features support a larger goal: creating a trusted compute base that protects modern workloads while giving IT leaders flexibility to scale and adapt.
Technology alone does not complete the modernization journey. Organizations still need to assess existing infrastructure, map workloads, plan hybrid cloud integration, address governance, and operate environments over time. This is where Insight’s services extend AMD’s compute capabilities into an end-to-end modernization solution.
Insight and AMD work together to help clients design, deploy, and optimize AMD-powered environments that unify compute, storage, networking, and security. The result is a more connected foundation for AI adoption, cost control, and operational resilience.
Instead of treating AI readiness as a single refresh cycle, organizations can rely on AMD EPYC™ processors paired with Insight’s expertise to build a platform that supports today’s workloads — while staying flexible for what comes next.