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Product Overview |
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The Cisco UCS-CPU-I5520+ is a 28-core Xeon Gold processor designed to fit within Cisco’s UCS server systems. It provides balanced performance for complex computing tasks, often found in environments focusing on virtualization and data management. |
General Information |
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| Brand | Intel |
| Part Number | UCS-CPU-I5520+ |
Technical Information |
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| Processor Family | Xeon Gold |
| # Of Cores | 28 Core |
| Total Threads | 56 |
| Max Turbo Frequency | 3.60 GHz |
| Base Clock Speed | 2.20 GHz |
| PCIe Version | PCIe 3.0 |
| Lithography | 14 nm |
| Socket Type | LGA 3647 |
| Cache | 38.5 MB |
| Thermal Design Power | 205 W |
Memory Specifications |
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| Memory Types | DDR4 |
| Max Memory Channels | 6 |
| Bandwidth | 140 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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This Intel Xeon Gold 5520+ processor is built for powerful computing environments where multi-core performance is essential. It is commonly found in data centers and enterprise servers that require efficient handling of complex workloads. Often used in Cisco Unified Computing System (UCS) servers, this CPU supports virtualization, database management, and large-scale application processing. IT professionals and organizations benefit from its high core count and steady clock speed to maintain reliable operation under demanding conditions. Key Features
In practice, this processor is typically deployed in enterprise-grade servers where uptime and processing power are critical. It helps businesses manage workloads efficiently without frequent upgrades. |
Use Cases |
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The Intel Xeon Gold 5520+ processor is primarily utilized in enterprise-grade server environments that demand high core counts for efficient multitasking and virtualization. It benefits IT professionals managing complex workloads such as large-scale data processing and virtualization within Cisco UCS infrastructure. How It's Used:
By integrating the Xeon Gold 5520+ into Cisco UCS platforms, organizations can achieve scalable and reliable compute capacity, optimizing resource allocation and maintaining performance stability across diverse enterprise workloads. |