The AMD EPYC 7402 is a high-performance server processor from the AMD EPYC 7002 Series, designed for modern data centers running virtualization clusters, application servers, and high-performance computing workloads. Based on the 7 nm “Rome” generation with Zen 2 cores, it brings a strong combination of core density, energy efficiency, and advanced platform capabilities tailored for cloud providers and enterprises consolidating many services onto fewer physical machines. With support for critical enterprise features and reliability, it is well suited for organizations that need to run large numbers of virtual machines, containers, and data-intensive workloads on a single or dual-socket platform.
Equipped with 24 cores and 48 threads, the EPYC 7402 runs at a base clock of 2.80 GHz with boost speeds up to about 3.35 GHz, delivering strong multi-threaded performance for parallel applications and virtualized environments. It integrates 128 MB of L3 cache and supports up to 4 TB of DDR4‑3200 ECC memory across 8 channels, providing high memory bandwidth and capacity critical for in-memory databases, analytics engines, and large-scale application workloads. The processor also exposes up to 128 lanes of PCIe 4.0, enabling rich configurations of NVMe SSDs, high-speed networking adapters, and accelerator cards without sacrificing bandwidth or resorting to complex add-on chipsets.
Like other EPYC 7002 Series processors, the AMD EPYC 7402 incorporates AMD Infinity Guard security technologies, including secure memory encryption and secure encrypted virtualization, to help protect sensitive data and isolate tenants in multi-tenant cloud environments. Its 180 W TDP, combined with the efficiency of the 7 nm process, allows operators to achieve high compute density in standard rack servers while balancing power and cooling demands. Overall, the EPYC 7402 is an excellent choice for enterprises and service providers seeking a mid-to-high core-count CPU that delivers strong performance, scalability, and security across a wide range of virtualized, cloud-native, and HPC workloads