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Product Overview |
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The SRN62 Intel Xeon Bronze 3508U is a straightforward 8-core processor designed to deliver steady performance for entry-level servers. It fits into workloads that favor energy efficiency and multi-core throughput over peak single-thread speed, making it a practical choice for basic data center operations and small business servers. |
General Information |
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| Brand | Intel |
| Part Number | SRN62 |
Technical Information |
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| Processor Family | Xeon Bronze |
| # Of Cores | 8 Core |
| Base Clock Speed | 2.10 GHz |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Product Description |
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The SRN62 Intel Xeon Bronze 3508U processor is built for handling basic server and data center operations. Commonly found in entry-level servers, it offers a balance of core count and power efficiency for workloads that don’t require the highest clock speeds. It’s often used in small to medium business environments where reliable multi-core processing is needed without pushing into high power or thermal envelopes. IT professionals deploying cost-effective rack servers will benefit from its solid performance across virtualized and multi-threaded applications. Key Features
This processor is typically deployed in data centers, small business servers, or edge computing devices where consistent performance and efficiency are key. It plays a practical role in environments requiring dependable processing power without the need for high-frequency cores or extensive cache sizes. |
Use Cases |
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The Intel Xeon Bronze 3508U processor is typically implemented in entry-level server setups where reliable multi-core processing and energy efficiency are essential. It serves organizations with modest computational demands, such as small to medium-sized businesses and remote office locations, that require cost-effective but capable server solutions. How It's Used:
This processor's balance of core count and energy-conscious design enables consistent performance for foundational infrastructure. It allows organizations to scale out computing resources within power and budget constraints while maintaining operational stability in less demanding server roles. |