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| Product Overview |
|---|
The AMD EPYC 7F32 3.7GHz 8-Core Processor provides robust performance for server environments by combining high clock speeds with efficient core design. It fits well in enterprise-grade servers where consistent processing power and energy efficiency are important, supporting a wide array of demanding workloads without compromise. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | 100-000000139 |
| Technical Information | |
|---|---|
| # Of Cores | 8 Core |
| Total Threads | 16 |
| Max Turbo Frequency | Up to 4.0 GHz |
| Base Clock Speed | 3.7 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 64 MB |
| Memory Specifications | |
|---|---|
| Max Memory Size | 4 TB |
| Memory Types | DDR4,DDR4 ECC,Registered (RDIMM),LRDIMM |
| 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, UL, TUV |
| Product Description |
|---|
The AMD EPYC 7F32 is a powerful 8-core processor designed to handle intensive computing tasks in server environments. It offers a high base clock speed of 3.7GHz, making it well-suited for applications requiring consistent high performance. Often found in data centers and enterprise servers, this processor supports multi-threading to improve throughput and responsiveness under heavy loads. It's built for IT professionals and organizations that need reliable computational power for virtualization, databases, and cloud services. Key Features
This processor is commonly deployed in enterprise servers running critical applications and cloud platforms. Its balance of core count and clock speed helps maintain steady performance across diverse workloads without excessive power consumption. In practice, the AMD EPYC 7F32 acts as the backbone for systems that demand reliability and speed, making it a solid choice for businesses managing large-scale data or hosting multiple virtual machines. |