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100-000000057 AMD EPYC 7452 2.35GHz 32-Core Processor
SKU:
100-000000057
Weight: 5.00 lbs
Condition: Refurbished
- 32-core AMD EPYC 7452 processor running at 2.35GHz base clock
- Supports simultaneous multithreading with 64 threads
- Built on 7nm process technology for efficient power use
- Optimized for high-density server and data center workloads
In stock
$234.00
| Product Overview |
|---|
The AMD EPYC 7452 processor delivers 32 cores and 64 threads at a steady 2.35GHz, targeting server environments that demand robust multitasking capabilities. It's built to fit into modern data centers where energy efficiency and high throughput are critical, supporting workloads ranging from virtualization to large-scale databases. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | 100-000000057 |
| Technical Information | |
|---|---|
| # Of Cores | 32 Core |
| Total Threads | 64 |
| Max Turbo Frequency | 3.35 GHz |
| Base Clock Speed | 2.35 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 128 MB |
| Thermal Design Power | 155 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 4 TB |
| Memory Types | DDR4,DDR4 ECC |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 5.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The AMD EPYC 7452 is a high-performance server CPU designed to handle demanding computing tasks with ease. Often found in data centers and enterprise servers, it excels at virtualization, cloud computing, and heavy multitasking environments. Built for IT professionals and organizations requiring reliable, scalable processing power, this processor allows efficient handling of large datasets and parallel workloads. Key Features
This processor is commonly deployed in enterprise servers, cloud infrastructures, and high-performance computing clusters. It helps organizations maintain responsive services and manage compute-intensive tasks effectively. |
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