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Product Overview |
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The Intel Xeon E5-2680 v4 processor offers 14 cores running at 2.40GHz and fits into LGA2011-3 socket servers. It provides a substantial 35MB L3 cache that supports efficient data handling, making it suitable for enterprise-level servers and demanding computational tasks. |
General Information |
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| Brand | Intel |
| Part Number | E5-2680V4 |
Technical Information |
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| # Of Cores | 14 Core |
| Total Threads | 28 |
| Max Turbo Frequency | 3.3 GHz |
| Base Clock Speed | 2.40 GHz |
| PCIe Version | PCIe 3.0 |
| Lithography | 14 nm |
| Socket Type | LGA 2011 |
| Cache | 35 MB |
| Thermal Design Power | 120 W |
Memory Specifications |
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| Max Memory Size | 1 TB |
| Memory Types | DDR4-1600,DDR4-1866,DDR4-2133 |
| Max Memory Channels | 4 |
| Bandwidth | 68 GB/s |
Physical Characteristics |
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| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE, FCC |
Product Description |
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The Intel Xeon E5-2680 v4 is a powerful server processor designed to handle intensive computing tasks. Often found in data centers and enterprise servers, it delivers reliable performance for virtualization, database management, and high-end computing. Built for IT professionals and organizations requiring robust processing capabilities, this 14-core CPU supports multi-threaded applications and complex workflows with ease. Key Features
Typically deployed in rack servers and blade systems, the E5-2680 v4 excels in environments where consistent, multi-core performance is essential. It helps reduce processing bottlenecks and supports demanding software with stable throughput. |
Use Cases |
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The Intel Xeon E5-2680 v4 processor is predominantly utilized in enterprise data centers and high-performance computing environments where multi-threaded processing and reliability are critical. It suits IT administrators managing virtualization platforms or large-scale database applications requiring consistent throughput under heavy workloads. How It's Used:
The processor’s multi-core architecture and large cache enhance operational efficiency by enabling scalable workloads and reducing latency in data-intensive applications. This makes it a foundational component for organizations seeking stable performance and capacity growth in complex IT infrastructures. |