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Product Overview |
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The Intel Xeon Silver 4514Y processor delivers balanced core counts and clock speeds suited for a range of server tasks. It fits well into enterprise setups requiring steady multi-threaded performance, making it a dependable choice for data centers focusing on efficiency and scalability. |
General Information |
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| Brand | Intel |
| Part Number | BX807224514Y |
Technical Information |
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| # Of Cores | 16 Core |
| Total Threads | 32 |
| Max Turbo Frequency | 3.0 GHz |
| Base Clock Speed | 2.0 GHz |
| Socket Type | LGA 4189 |
| Cache | 22.5 MB |
| Thermal Design Power | 150 W |
Memory Specifications |
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| Max Memory Size | 4 TB |
| Memory Types | DDR4-3200 |
| 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 |
Product Description |
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The Intel Xeon Silver 4514Y processor is built to handle demanding compute tasks with its 16 cores and 32 threads. It's commonly used in servers and data centers where balanced performance and power efficiency are crucial. IT professionals and enterprises relying on virtualization, database management, or large-scale processing often benefit from this CPU's capabilities. Key Features
This processor is typically found powering medium to large servers within data centers or corporate IT infrastructures. It plays a key role in maintaining reliable performance across multiple applications and services without excessive power draw. |
Use Cases |
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The Intel Xeon Silver 4514Y processor is suited for mid-sized enterprise servers and data center nodes where balanced multi-core performance and power efficiency are critical. IT administrators managing virtualization platforms or handling compute-intensive batch processing will find this CPU aligns well with operational demands requiring reliable throughput and scalability. How It's Used:
This processor's design allows for effective scaling in diverse infrastructure setups, providing a reliable foundation for multitasking and workload distribution. Its balance between core count and clock speed helps maintain operational consistency while optimizing energy consumption across server deployments. |