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Product Overview |
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The Dell 338-CKLV AMD EPYC 9554 64-Core 3.1GHz Processor delivers robust multi-core performance suited for demanding server environments. It fits into data centers and enterprise setups requiring reliable, high-throughput computing without sacrificing energy efficiency. |
General Information |
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| Brand | AMD |
| Part Number | 338-CKLV |
Technical Information |
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| Processor Family | EPYC Genoa |
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Base Clock Speed | 3.1 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Cache | 256 MB |
Memory Specifications |
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| Max Memory Size | 6 TB |
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Bandwidth | Up to 460.8 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV |
Product Description |
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The AMD EPYC 9554 is a powerful server-grade processor built for tackling intensive computing tasks. It's commonly found in data centers and enterprise servers where workload demands require high core counts and efficient multitasking. Engineered for IT professionals managing virtualization, big data, and cloud infrastructure, this processor handles concurrent operations smoothly, making it a solid choice for scalable systems. Key Features
This processor is typically deployed in enterprise servers supporting databases, analytics, and cloud services where workload intensity is high. It helps maintain system responsiveness under heavy load and contributes to overall data center efficiency. |
Use Cases |
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The 338-CKLV AMD EPYC 9554 64-Core 3.1GHz Processor is optimized for high-density server environments where intensive parallel processing and virtualization are critical. It benefits organizations managing complex data center operations or enterprise IT workloads that demand reliable multi-threaded performance and scalability. How It's Used:
This processor enhances operational efficiency by delivering balanced performance across both single-thread and multi-thread tasks, facilitating workload consolidation and reducing physical server footprints. Its architecture supports seamless scalability, making it suitable for evolving enterprise and data center demands. |