Name: 100-000000506WOF AMD EPYC 7573X 32-Core 2.8GHz Server Processor
Brand: AMD
SKU: 100-000000506WOF
Price: 6324.00 USD
Availability: InStock
Rating: 4.8 (119 reviews)

Product Overview
The AMD EPYC 7573X 32-core processor is built to deliver consistent performance in professional server setups. It fits into enterprise-grade systems where processing large workloads efficiently is essential, offering a solid foundation for complex computing tasks.

General Information
Brand	AMD
Part Number	100-000000506WOF

Technical Information
# Of Cores	32 Core
Total Threads	64
Base Clock Speed	2.8 GHz
PCIe Version	PCIe 4.0
Lithography	7 nm
Socket Type	SP3

Memory Specifications
Max Memory Size	4 TB
Memory Types	DDR4
Max Memory Channels	8
Bandwidth	204.8 GB/s

Physical Characteristics
Weight	5.00
Condition	Refurbished

Miscellaneous
Eco Friendly	Yes

Product Description
The AMD EPYC 7573X is a high-core-count processor designed to handle demanding computing environments. It's commonly used in data centers and enterprise servers where heavy multitasking and large datasets are the norm. Professionals relying on scientific simulations, virtualization, and cloud computing benefit from its robust core count and processing speed. Key Features 32 cores delivering strong parallel processing capabilities for intensive workloads Base clock speed of 2.8GHz ensuring balanced performance and efficiency Designed for improved throughput in server and data center environments Supports advanced security features for enterprise applications Compatible with modern server platforms supporting AMD EPYC processors This processor is typically installed in rack or blade servers where maximum processing power and reliability are critical. Its architecture helps organizations run multiple virtual machines or data-intensive applications without compromising responsiveness.

Use Cases
The AMD EPYC 7573X processor is designed for enterprise IT environments that demand sustained high throughput and parallel processing capabilities. It is particularly suited for data centers and HPC clusters where complex simulations, analytics, and virtualization workloads run concurrently. How It's Used: Powering virtualization platforms in cloud data centers to efficiently handle multiple VMs and container workloads. Supporting large-scale database management systems in financial institutions requiring low latency and high transaction rates. Enabling high-performance computing clusters in scientific research facilities to accelerate computational simulations. Driving real-time analytics and AI inference tasks in edge computing deployments for enterprise clients. Facilitating storage node operations in distributed storage clusters handling massive data throughput. This processor's architecture fosters operational efficiency by maximizing core utilization and parallel task handling, ensuring scalable performance as workload demands grow. Its integration into server infrastructures helps maintain reliability and responsiveness across critical enterprise applications.