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Product Overview |
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The FWCMN Dell EPYC Milan 7343 3.2GHz 16-Core Processor is designed to deliver solid multi-core performance in enterprise servers. It fits well in environments that need efficient processing power for virtualization, data analytics, and cloud workloads, providing a balance of speed and energy efficiency without unnecessary complexity. |
General Information |
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| Brand | AMD |
| Part Number | FWCMN |
Technical Information |
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| Processor Family | EPYC Milan |
| # Of Cores | 16 Core |
| Total Threads | 32 |
| Max Turbo Frequency | 3.9 GHz |
| Base Clock Speed | 3.2 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 128 MB |
| Thermal Design Power | 155 W |
Memory Specifications |
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| Max Memory Size | 4 TB |
| Memory Types | DDR4-3200 |
| 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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| Compliance Standards | RoHS, CE |
Product Description |
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This FWCMN Dell EPYC Milan 7343 processor is built for demanding server applications that require robust multi-core performance. It is often found in enterprise data centers where high throughput and parallel processing are essential. Designed for IT professionals managing large-scale workloads, this CPU delivers reliable computing power for virtualization, database management, and cloud services. Key Features
Typically deployed in server racks running demanding applications, this processor handles resource-intensive tasks smoothly. It helps organizations maintain consistent performance while optimizing power consumption, making it a practical choice for modern IT infrastructure. |
Use Cases |
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The AMD EPYC Milan 7343 16-Core processor is tailored for enterprise-grade server deployments requiring reliable multi-threaded processing within high-density data centers. It benefits organizations managing virtualized environments or intensive analytics workloads that demand both performance and energy efficiency. How It's Used:
This processor enhances operational efficiency by balancing performance with energy use, making it suitable for scalable server architectures. Its design supports growing workload demands while maintaining manageable power profiles essential for modern data center management. |