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| Product Overview |
|---|
The Dell Opteron 2352 Quad Core 2.10GHz Server Processor offers solid multi-core performance tailored for server tasks. It's a reliable component in Dell's server line, fitting well where dependable processing power is needed but extreme speed isn't the primary concern. |
| General Information | |
|---|---|
| Brand | AMD |
| Part Number | 0D617F |
| Technical Information | |
|---|---|
| Processor Family | AMD Opteron |
| # Of Cores | 4 Core |
| Total Threads | 4 |
| Base Clock Speed | 2.10 GHz |
| Lithography | Other |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The Dell Opteron 2352 is a quad-core processor running at 2.10GHz, built to handle server workloads efficiently. Often found in entry-level to mid-range servers, it balances processing power with energy efficiency for demanding business applications. This processor is commonly used in environments requiring stable multi-threaded performance, such as virtualization, database management, and web hosting. IT professionals relying on Dell servers benefit from its compatibility and reliable performance in daily operations. Key Features
This processor often finds a place in small to medium-sized business servers where consistent performance and reliability matter more than cutting-edge speed. It handles routine server tasks without fuss, making it a practical choice for many server setups. |
| Use Cases |
|---|
The Dell Opteron 2352 Quad Core 2.10GHz Server Processor is primarily utilized in servers that require stable multi-threaded performance without the demand for cutting-edge speeds. It is well-suited for environments where efficient parallel processing supports moderate workload management, particularly in legacy Dell server platforms. How It's Used:
This processor facilitates operational efficiency by providing dependable processing throughput for tasks that demand concurrency rather than peak frequency. Its design balances power consumption and performance, supporting scalable infrastructure in environments with predictable workload demands. |