HPE P26984-001 EPYC 7F72 3.2GHz 24-Core Processor 192MB L3 New

In the ever-evolving landscape of information technology, the heart of any computing system lies in its processor. Among the myriad options available, the HPE P26984-001 EPYC 7F72 processor stands out, boasting a 3.2GHz clock speed and 24 cores, with a generous 192MB L3 cache. In this comprehensive guide, we will delve into the intricacies of this processor, exploring its architecture, performance capabilities, and the unique features that set it apart in the market.

The HPE P26984-001 EPYC 7F72 processor is a powerhouse designed to cater to the demanding needs of modern computing environments. Developed by Hewlett Packard Enterprise (HPE), this processor is part of the EPYC series, known for its cutting-edge technology and performance prowess.

Let's break down the key technical specifications of the HPE P26984-001 EPYC 7F72 processor:

The processor operates at an impressive 3.2GHz clock speed. Clock speed, measured in gigahertz (GHz), determines how quickly a processor can execute instructions, making it a crucial factor in overall system performance.

With 24 cores, the EPYC 7F72 processor is designed to handle parallel processing tasks efficiently. This high core count is especially beneficial for multitasking, parallel computing, and running applications that can leverage multiple cores simultaneously.

A standout feature of this processor is its expansive 192MB L3 cache. The L3 cache is a type of high-speed memory that stores frequently accessed data, reducing the time it takes for the processor to retrieve information. A larger cache size often translates to improved performance, particularly in data-intensive tasks.

The HPE P26984-001 EPYC 7F72 processor is built on the Zen 2 architecture, which represents a significant leap forward in terms of performance and efficiency. Let's explore the key elements of Zen 2:

Zen 2 adopts a 7nm (nanometer) manufacturing process, allowing for smaller and more power-efficient transistors. This technological advancement contributes to improved performance while minimizing power consumption and heat generation.

One of the notable features of Zen 2 is its chipset design, where the processor is composed of multiple smaller pieces called chipsets. This design enhances scalability, as manufacturers can combine different chipsets to create processors with varying core counts and capabilities.

The EPYC 7F72 processor supports PCIe 4.0, the latest iteration of the Peripheral Component Interconnect Express (PCIe) interface. PCIe 4.0 doubles the data transfer rate per lane compared to PCIe 3.0, providing faster communication between the processor and other system components such as graphics cards and storage devices.

Infinity Fabric is a key technology in AMD processors, including the EPYC 7F72. It serves as the interconnect between different components within the processor, facilitating communication between cores and chipsets. This high-speed fabric is crucial for maintaining low latency and ensuring efficient data transfer across the processor.

Multithreading and Parallel Processing

With its 24 cores and support for simultaneous multithreading (SMT), the EPYC 7F72 processor excels in handling parallel workloads. Multithreading enables each core to execute multiple threads simultaneously, enhancing overall system throughput and responsiveness.

Workload Optimization

The EPYC 7F72 processor is well-suited for a diverse range of workloads, from data-intensive applications to virtualization and cloud computing. Its high core count and generous L3 cache make it capable of handling complex computational tasks efficiently.

Memory Bandwidth and ECC Support

Memory performance is a critical aspect of system responsiveness. The EPYC 7F72 processor supports high-speed DDR4 memory and features ECC (Error-Correcting Code) support, ensuring data integrity by detecting and correcting memory errors. This is particularly crucial in mission-critical applications where data accuracy is paramount.

HPE Enhancements

HPE, as a leading provider of enterprise solutions, often introduces enhancements to processors to optimize their performance in specific environments. The EPYC 7F72, when integrated into HPE systems, may benefit from additional features and optimizations tailored to enterprise-level workloads.

Security Features

Security is a top priority in modern computing, and the EPYC 7F72 processor includes a range of security features to safeguard data and system integrity. These features may include hardware-based encryption, secure boot, and virtualization-based security measures.

Enterprise Servers and Data Centers

Given its high core count and robust performance capabilities, the EPYC 7F72 processor is well-suited for enterprise servers and data center environments. It can handle virtualization, cloud computing, and demanding workloads with ease, making it an ideal choice for businesses with diverse computing needs.

Scientific and Research Applications

In scientific and research fields where complex simulations and calculations are common, the EPYC 7F72's parallel processing capabilities and large L3 cache make it a valuable asset. Researchers and scientists can benefit from the processor's ability to accelerate computations and reduce time-to-results.

• Manufacturer: HPE
• Part Number or SKU# P26984-001
• Product Type: EPYC 24-Core

• Processor Core: 24-core
• Clock Speed: 3.2GHz
• Max Boost Clock: Up to 3.7GHz

• L3 Cache: 192MB

Manufacturing Details

• Lithography: 7nm
• Max Thermal Design Power (TDP): 240W
• Compatible Processor Socket: SP3

In general, the HPE P26984-001 EPYC 7F72 processor emerges as a formidable contender in the realm of high-performance computing. With its 3.2GHz clock speed, 24 cores, and 192MB L3 cache, it caters to a broad spectrum of applications, from enterprise servers to scientific research. The Zen 2 architecture, Infinity Fabric, and support for PCIe 4.0 contribute to its efficiency and scalability. Whether deployed in data centers or research labs, this processor signifies a commitment to pushing the boundaries of computational power in the digital age.