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Product Overview |
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The Dell 338-BLTW Intel Xeon Silver 4116 2.1GHz 12-Core Processor is a solid mid-range option for servers and workstations, focusing on delivering stable multi-core performance. It fits well in business environments that need reliable processing across multiple simultaneous tasks without pushing into high-end, power-hungry territory. |
General Information |
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| Brand | Dell |
| Part Number | 338-BLTW |
Technical Information |
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| Processor Family | Xeon Silver |
| # Of Cores | 12 Core |
| Total Threads | 24 |
| Max Turbo Frequency | 3.0 GHz |
| Base Clock Speed | 2.1 GHz |
| PCIe Version | PCIe 3.0 |
| Lithography | 14 nm |
| Socket Type | LGA 3647 |
| Cache | 16.5 MB |
| Thermal Design Power | 85 W |
Memory Specifications |
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| Max Memory Size | 768 GB |
| Memory Types | DDR4 2400 |
| Max Memory Channels | 6 |
| Bandwidth | 115.2 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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This 338-BLTW Dell Intel Xeon Silver 4116 processor provides reliable performance for demanding data center and enterprise workloads. It is commonly used in servers and workstations where multi-core processing and efficient throughput are important. IT professionals and businesses running virtualization, databases, or analytics benefit from its balance of core count and clock speed. Key Features
Typically seen in rack or tower servers powering IT infrastructures, this processor helps maintain uptime and responsiveness. Its architecture balances performance and power efficiency, fitting environments that require steady computing power without excessive energy use. |
Use Cases |
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The Dell 338-BLTW Intel Xeon Silver 4116 processor is tailored for mid-tier server and workstation platforms where consistent multi-core processing power is essential. It benefits IT teams managing moderate virtualization tasks or database operations, particularly in environments demanding reliable throughput without excessive power consumption. How It's Used:
This processor’s balance of core count and energy efficiency helps sustain operational workloads while allowing organizations to scale compute capacity incrementally. It fits well where workload predictability and stable performance are prioritized over peak throughput. |