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Product Overview |
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The AMD EPYC 7402 processor offers a robust 24-core design suitable for servers that need to process large amounts of data concurrently. It fits well in environments like data centers and cloud platforms where reliable multi-threaded performance and memory bandwidth are essential for smooth operation. |
General Information |
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| Brand | AMD |
| Part Number | 100-000000046 |
| Alternate Part Number | 100-000000046-13-CT |
Technical Information |
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| # Of Cores | 24 Core |
| Total Threads | 48 |
| Max Turbo Frequency | 3.35 GHz |
| Base Clock Speed | 2.8 GHz |
| Socket Type | SP3 |
| Cache | 128 MB |
| Thermal Design Power | 180 W |
Memory Specifications |
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| Max Memory Size | 4 TB |
| Memory Types | DDR4 |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | RoHS |
Product Description |
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The AMD EPYC 7402 is a powerful server processor designed to handle demanding computing environments. It is commonly used in data centers, enterprise servers, and cloud infrastructure where heavy multi-threaded workloads such as virtualization, database management, and parallel computing are frequent. This processor is built for IT professionals and organizations needing reliable, scalable performance that can handle both compute-intensive and memory-heavy applications. Key Features
This processor is often found in modern server racks powering cloud services, virtualization hosts, and enterprise-grade database systems. Its balance of cores, memory support, and energy efficiency makes it a solid foundation for scaled-out infrastructure. |
Use Cases |
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The AMD EPYC 7402 processor is engineered for data centers and enterprise IT environments requiring robust multi-threaded processing and high memory throughput. It serves organizations managing virtualization workloads, large databases, and analytics platforms where stable, scalable performance is critical. How It's Used:
This processor's architecture and core density contribute to efficient handling of parallel workloads and maximize server utilization. Its support for extensive memory channels enhances data access speeds, ensuring that critical applications maintain responsiveness under heavy load. |