Name: 100-000000800 AMD EPYC 9334 32-Core 2.7GHz Gen-4 Processor
Brand: AMD
SKU: 100-000000800
Price: 2264.00 USD
Availability: InStock
Rating: 4.8 (119 reviews)

Product Overview
The AMD EPYC 9334 processor delivers solid multi-core performance suited for enterprise servers and data centers. It fits well in systems requiring strong parallel processing capabilities with a focus on handling large, demanding workloads efficiently.

General Information
Brand	AMD
Part Number	100-000000800

Technical Information
# Of Cores	32 Core
Total Threads	64
Base Clock Speed	2.7 GHz

Memory Specifications
Memory Types	DDR5
Max Memory Channels	12

Physical Characteristics
Weight	5.00
Condition	Refurbished

Miscellaneous
Eco Friendly	Yes
Compliance Standards	WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL

Product Description
The AMD EPYC 9334 is a powerful server processor designed to handle demanding computational tasks with ease. It's often utilized in data centers and enterprise servers where high core count and efficient processing are critical. Professionals running complex workloads, including virtualization, cloud computing, and large-scale databases, benefit from its capabilities. Key Features High 32-core count enables extensive parallel processing 4th generation architecture improves overall efficiency and speed 2.7GHz base clock ensures a strong balance between power and performance Built to support large memory bandwidth and advanced security features Compatible with latest server platforms for versatile deployment This processor is typically found powering enterprise-grade servers and cloud infrastructure. Its design helps organizations manage heavy workloads while maintaining reliability and scalability over time.

Use Cases
The AMD EPYC 9334 processor is designed for deployment in enterprise-grade server infrastructures where handling intensive, parallel workloads is critical. It serves environments that require high thread counts and consistent performance under heavy virtualization, containerization, and data processing demands. How It's Used: Running virtualized workloads in large-scale data centers to optimize resource allocation and throughput. Supporting high-performance computing (HPC) clusters for scientific simulations and analytics in research institutions. Powering multi-tenant cloud service environments requiring robust isolation and high concurrency. Driving storage clusters with heavy input/output operations in enterprise IT for rapid data access. Facilitating edge computing deployments that demand efficient processing with limited physical footprint. This processor enables scalable performance improvements in demanding server environments, allowing IT operations to maintain workload efficiency and adapt to growing computational needs without compromising system stability.