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Product Overview |
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The AMD EPYC 9754S is a powerhouse processor designed to deliver extensive core counts and solid clock speeds for demanding server environments. It fits into systems where multitasking and heavy data processing are routine, providing a robust foundation for enterprise computing needs. |
General Information |
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| Brand | AMD |
| Part Number | 100-000001371WOF |
Technical Information |
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| Total Threads | 256 |
| Max Turbo Frequency | 3.70 GHz |
| Base Clock Speed | 2.25 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
Memory Specifications |
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| Max Memory Size | 6 TB |
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Bandwidth | 460.8 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
Product Description |
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This AMD EPYC 9754S processor is built for data centers and enterprise servers that require massive parallel processing power. It’s commonly used in high-performance computing setups, virtualization platforms, and large-scale database management. Engineered to handle demanding workloads, it benefits IT professionals and organizations needing reliable, scalable processing with a focus on throughput. Key Features
You'll typically find this processor powering enterprise-level servers in data centers and cloud infrastructures. Its role in managing complex workloads helps improve overall system responsiveness and reliability. |
Use Cases |
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The AMD EPYC 9754S processor is engineered for high-density server deployments where massive parallel processing and efficient multi-threading are critical. It is best suited for enterprise IT infrastructures that require reliable performance under heavy workloads typical in data centers and cloud service platforms. How It's Used:
This processor facilitates scalable and efficient operations by delivering consistent core performance while managing complex multi-threaded tasks. Its architecture supports dense rack deployments, helping IT teams optimize server footprints without compromising workload throughput. |