Agentic AI is changing the shape of infrastructure. As enterprises move from isolated AI experiments to production agentic systems, the supporting CPU infrastructure becomes critical: orchestration services, databases, web front ends, caches, middleware, APIs and control-plane services all need to scale efficiently within real rack power and thermal limits. Customers do not deploy benchmark headlines; they deploy racks constrained by power, cooling, floor space, software compatibility and operational readiness.
Evaluated through that lens, AMD EPYC™ processors demonstrate clear rack-scale leadership. Under the modeled 100 kW rack scenario, AMD EPYC™ 9965 delivers an estimated 2.37x the rack-level throughput of the NVIDIA Vera baseline and roughly 1.6x that of Intel Xeon 6980P. Next-generation AMD EPYC “Venice” is projected to extend the Vera comparison to 3.30x.1 Just as important, this is infrastructure customers can build today on standard x86 platforms, not a future architecture they have to wait for.