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Product Overview |
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The AMD EPYC 7272 processor offers a reliable 12-core solution for servers that demand steady multi-threaded performance. It fits well into data centers and enterprise environments where balancing core count, clock speed, and power efficiency matters most. |
General Information |
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| Brand | AMD |
| Part Number | 100-100000079WOF |
Technical Information |
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| # Of Cores | 12 Core |
| Total Threads | 24 |
| Max Turbo Frequency | 3.2 GHz |
| Base Clock Speed | 2.9 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 64 MB |
| Thermal Design Power | 155 W |
Memory Specifications |
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| Max Memory Size | 4 TB |
| Memory Types | DDR4,DDR4-3200,Registered ECC |
| Max Memory Channels | 8 |
| Bandwidth | 204.8 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC |
Product Description |
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The AMD EPYC 7272 is a powerful 12-core processor designed to handle demanding computing tasks efficiently. Commonly used in servers and data centers, it offers a solid balance between core count and clock speed to optimize performance across various workloads. Built for IT professionals and system administrators, this processor suits environments where reliable multi-threaded processing is critical, such as virtualization, cloud computing, and enterprise applications. Key Features
This processor commonly appears in rack and blade servers powering business-critical operations. Its combination of efficiency and multicore performance helps maintain responsiveness under heavy loads, making it a dependable choice for medium to large-scale IT setups. |
Use Cases |
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The AMD EPYC 7272 processor is engineered for server environments requiring consistent multi-threaded performance and efficient power usage. It is well-suited for enterprises and data centers managing scalable workloads that demand a balance between computational throughput and energy efficiency. How It's Used:
This processor enables data center operators and IT architects to deliver scalable and efficient compute resources. Its core architecture supports workload consolidation and high-density deployments, promoting operational efficiency in complex server infrastructures. |