AMD EPYC 8004 (4th Gen) 8534P Tetrahexaconta-core (64 Core) 2.30 GHz Processor - OEM Pack

The AMD EPYC 8004 (4th Gen) 8534P is a purpose-built data center processor engineered to handle the most demanding workloads with exceptional efficiency. Built on AMD’s Zen 4 architecture, this 64-core powerhouse delivers outstanding multi-threaded performance, superior memory bandwidth, and advanced security features that enterprises rely on for virtualization, database management, analytics, and cloud-scale applications. Engineered for OEM deployments, the 8004 is designed to maximize density and reduce total cost of ownership, enabling service providers and system integrators to build scalable, future-proof servers for multi-tenant environments, AI workloads, and large-scale compute clusters. Whether you run virtualization platforms, mission-critical databases, or high-performance computing tasks, the AMD EPYC 8004 is built to accelerate your most demanding workloads while delivering efficient power usage and robust reliability.

• 64-core multi-threaded performance for enterprise workloads. Designed to deliver high throughput under heavy concurrency, the EPYC 8004 excels at virtualization, containerized workloads, in-memory databases, and analytics pipelines, enabling more virtual machines per host and faster data processing.
• Zen 4 architecture with modern memory and I/O extensions. The processor leverages the advanced Zen 4 core design to achieve higher instructions-per-cycle (IPC) and improved efficiency, along with support for cutting-edge memory technologies and high-speed I/O, positioning data centers for the demands of modern cloud-native applications.
• DDR5 memory support and PCIe 5.0 readiness. With DDR5 memory compatibility and PCIe 5.0 lanes, the 8004 delivers greater bandwidth and faster I/O to accelerators, GPUs, storage controllers, and networking devices, enabling faster data movement and reduced bottlenecks in data-center workflows.
• Scalability and reliability for multi-socket and dense deployments. Built for OEM configurations and enterprise-scale servers, the 8004 supports multi-socket platforms and enterprise-grade reliability features, including error detection and correction (ECC) memory support and hardware-level resilience to minimize downtime.
• Optimized for data center efficiency and lower total cost of ownership. The 64-core design combines powerful performance with energy-efficient operation, helping operators meet service level agreements (SLAs) while keeping operating costs in check across large server fleets.

Technical Details of AMD EPYC 8004 (4th Gen) 8534P

• Cores: 64
• Base Clock: 2.30 GHz
• Architecture: Zen 4 (4th Generation AMD EPYC)
• Memory Support: DDR5 memory with ECC; multi-channel capabilities for high bandwidth
• PCIe: PCIe 5.0 lanes (typical EPYC skylines offer robust PCIe connectivity, enabling fast I/O to GPUs, NVMe storage, and accelerators)
• Manufacturing Process: 5nm equivalent process technology for improved efficiency and performance per watt
• Product Packaging: OEM Pack designed for system integrators and enterprise deployments
• Security and Reliability: Enterprise-grade security features with hardware-assisted protection and error-detection capabilities

How to install AMD EPYC 8004 (4th Gen) 8534P

• Prepare your environment. Power down the server chassis, disconnect power, and ground yourself to prevent static discharge. Verify you have a compatible motherboard with an appropriate socket and BIOS support for 4th Gen EPYC processors.
• Verify compatibility and BIOS. Ensure the motherboard supports Zen 4 EPYC CPUs, has the correct firmware version, and that the memory configuration aligns with the processor’s optimized memory settings. Review any vendor-specific virtualization and security options.
• Install the CPU correctly. Open the CPU socket lever, align the marked corner of the AMD EPYC 8004 with the socket key, and gently seat the processor until it is fully seated. Close the lever to secure the CPU in place.
• Apply thermal interface material and cooler. Apply an appropriate amount of thermal paste or ensure your cooler’s pre-applied TIM is correct, then install a compatible high-efficiency cooling solution designed for data center use. Proper cooling is essential for sustained performance and reliability.
• Power up and configure in BIOS/UEFI. Reconnect power, boot to the system BIOS, and enable the processor’s features as required by your workload. Update firmware if needed, configure memory channels and interleaving for optimal bandwidth, and verify the CPU is recognized correctly by the platform before loading your operating system and hypervisor.

Frequently asked questions

• Q: What workloads is the AMD EPYC 8004 ideal for? The 8004 is built for data-center scale, virtualization, cloud infrastructure, large-scale databases, analytics, and HPC workloads. It provides dense core counts, strong multi-threaded performance, and robust memory bandwidth to accelerate enterprise applications and modern workloads.
• Q: What memory and I/O capabilities does it support? It supports modern memory technologies such as DDR5 with ECC, delivering higher bandwidth and reliability for memory-intensive tasks. PCIe 5.0 I/O enables faster connections to storage, accelerators, and networking hardware, helping reduce bottlenecks in data-centric environments.
• Q: Is this processor suitable for multi-socket server deployments? Yes. The 64-core design and accompanying platform features are intended for scalable, multi-socket servers, making it suitable for virtualization hosts, private clouds, and high-density compute clusters.
• Q: What is the packaging and intended use? The OEM Pack packaging is designed for system integrators and data-center deployments, enabling easy integration into rack-mounted servers and enterprise-grade hardware solutions.
• Q: How does the AMD EPYC 8004 help reduce total cost of ownership? By delivering high core density, efficient Zen 4 performance, and modern memory and I/O technologies (DDR5 and PCIe 5.0), the processor supports higher VM density, faster data processing, and energy-efficient operation, which together lower maintenance costs and improve performance per watt in large-scale deployments.