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| Product Overview |
|---|
The AMD EPYC 7713P processor offers 64 cores in a single-socket server setup, providing robust multi-threaded performance for demanding workloads. It fits into enterprise and data center environments where high core counts and memory capacity are essential for handling virtualization, analytics, and database applications without the complexity of multi-CPU configurations. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | 338-BZYJ |
| Technical Information | |
|---|---|
| Processor Family | EPYC Milan |
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Max Turbo Frequency | 3.675 GHz |
| Base Clock Speed | 2.0 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 256 MB |
| Thermal Design Power | 200 W |
| Memory Specifications | |
|---|---|
| Max Memory Size | 4 TB |
| Memory Types | DDR4-3200 |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
| Physical Characteristics | |
|---|---|
| Weight | 5.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Compliance Standards | RoHS, CE |
| Product Description |
|---|
The AMD EPYC 7713P processor is engineered to deliver powerful multi-core performance suitable for demanding server environments. It offers 64 high-performance cores, making it well-suited for virtualization, data analytics, and large-scale databases. This processor is often found in enterprise servers where a single-socket setup is preferred without compromising on core count. Built on the Zen 3 architecture, it provides enhanced instructions per clock and energy efficiency compared to previous generations. IT professionals and system builders commonly choose this CPU for workloads that require dense compute power and memory capacity. Key Features
This processor typically powers data center servers handling cloud computing and enterprise applications. Its combination of cores and memory support enables smooth operations for virtual machines and heavy computational tasks. Users benefit from reliable performance when running complex simulations or large-scale databases. |