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100-000000504 AMD EPYC 7773X 2.2GHz 64-Core Processor
SKU:
100-000000504
Weight: 5.00 lbs
Condition: Refurbished
- 64-core AMD EPYC 7773x processor with 2.2GHz base clock speed
- High core count supports demanding multi-threaded workloads
- Built on advanced 7nm technology for power efficiency
- Optimized for data centers and enterprise servers
In stock
$4,643.00
| Product Overview |
|---|
The AMD EPYC 7773x processor is designed to deliver extensive multi-core performance for demanding server applications. It fits primarily in enterprise and cloud environments where processing many simultaneous tasks efficiently is critical. Its architecture balances core count, power efficiency, and memory support, making it a solid choice for modern data centers. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | 100-000000504 |
| Technical Information | |
|---|---|
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Max Turbo Frequency | 3.5 GHz |
| Base Clock Speed | 2.2 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 768 MB L3 |
| Thermal Design Power | 280 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 4 TB |
| Memory Types | DDR4 |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 5.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC |
| Product Description |
|---|
The AMD EPYC 7773x is a powerful server processor designed to handle intensive computing tasks in data center environments. Often found in enterprise-grade servers, it delivers strong multi-core performance for virtualization, cloud computing, and large-scale data processing. Built for system administrators and IT professionals who require reliable and scalable processing power, this CPU fits well in setups that demand high throughput and parallel task execution. Key Features
Typically deployed in data centers and enterprise server farms, the EPYC 7773x enables smooth handling of virtual machines and complex workloads. It helps improve efficiency in cloud services, large databases, and high-performance computing tasks without compromising on power draw. |
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