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Product Overview |
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The Intel Xeon E5-2683 v4 is a 16-core server processor designed to provide balanced performance for multi-threaded applications. It fits into enterprise-level systems where reliable processing power and efficient data handling are critical for tasks like virtualization and database management. |
General Information |
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| Brand | Intel |
| Part Number | E5-2683v4 |
Technical Information |
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| # Of Cores | 16 Core |
| Total Threads | 32 |
| Max Turbo Frequency | 3.00 GHz |
| Base Clock Speed | 2.10 GHz |
| PCIe Version | PCIe 3.0 |
| Lithography | 14 nm |
| Socket Type | LGA 2011 |
| Cache | 40 MB L3 |
| Thermal Design Power | 120 W |
Memory Specifications |
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| Max Memory Size | 1 TB |
| Memory Types | DDR4 1600/1866/2133 |
| Max Memory Channels | 4 |
| Bandwidth | 68 GB/s |
Physical Characteristics |
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| Weight | 3.00 |
| Condition | Refurbished |
Product Description |
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The Intel Xeon E5-2683 v4 is built for servers and workstations requiring balanced processing power and efficiency. It is commonly used in data centers and enterprise environments to handle demanding multi-threaded workloads. This processor is often found in setups running virtualization, large-scale databases, and high-performance computing applications. IT professionals and system administrators benefit from its robust core count and reliable performance under sustained loads. Key Features
This processor is typically deployed in enterprise servers powering cloud infrastructure, virtualization platforms, and compute-intensive applications. Its design supports reliable operation over extended periods, making it a solid choice for continuous workload environments. |
Use Cases |
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The Intel Xeon E5-2683 v4 processor is primarily utilized in data center and enterprise server environments where high core counts and efficient multi-threading are essential. It is well-suited for IT professionals managing virtualized workloads or large-scale database operations that demand consistent processing power and bandwidth. How It's Used:
This processor enhances operational efficiency by enabling scalable compute resources capable of maintaining performance under demanding workloads. Its architecture supports robust data handling and communication, making it suitable for environments focused on optimizing server density and responsiveness. |