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100-000000804 AMD EPYC 9554P 3.10GHz 64-Core 360W Processor
SKU:
100-000000804
Weight: 5.00 lbs
Condition: Refurbished
- 64-core AMD EPYC 9554P processor with 3.10GHz base clock
- High-performance 360W power envelope for demanding workloads
- Designed for data centers and enterprise servers
- Supports advanced multi-threading and heavy parallel processing
In stock
$3,949.00
| Product Overview |
|---|
The AMD EPYC 9554P 64-core processor is a high-capacity CPU designed for enterprise and cloud servers. It fits into environments requiring consistent, high-volume processing power, such as virtualization farms and large database servers, offering a balance of speed and core count to optimize demanding workloads. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | 100-000000804 |
| Technical Information | |
|---|---|
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Max Turbo Frequency | 4.20 GHz |
| Base Clock Speed | 3.10 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Cache | 256 MB L3 |
| Thermal Design Power | 360 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 6 TB |
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Bandwidth | 460.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 5.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV, cULus |
| Product Description |
|---|
The AMD EPYC 9554P is a powerful server processor built for intensive computing tasks. It delivers 64 cores running at a base frequency of 3.10GHz, making it well suited for virtualization, database management, and large-scale data processing. Users often find it deployed in data centers or enterprise environments where reliability and sustained performance are critical. Key Features
This processor is commonly installed in rack servers and blade systems where sustained performance under heavy loads is necessary. It helps businesses manage large datasets and run parallel applications smoothly, reducing processing bottlenecks and improving overall system throughput. |
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