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Product Overview |
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The HPE P05700-B21 DL580 Gen10 Xeon Gold 6234 3.3GHz 8-Core CPU is a reliable server processor designed for demanding enterprise workloads. It fits into the Gen10 server lineup, providing balanced performance and efficiency for virtualization, analytics, and database operations in data center environments. |
General Information |
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| Brand | HPE |
| Part Number | P05700-B21 |
Technical Information |
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| Processor | HPE P05700-B21 DL580 Gen10 — Intel Xeon Gold 6234, 8 cores, 3.30 GHz (base) — Socket FCLGA3647 — Compatible with HPE ProLiant DL580 Gen10 |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Miscellaneous |
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| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
Product Description |
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This processor is built for the HPE DL580 Gen10 server, providing robust computing power for data-intensive tasks. It’s often found in enterprise environments where reliability and scalability are essential. IT professionals and system administrators typically use it to handle demanding applications such as virtualization, large databases, and heavy analytics. Key Features
This CPU is often deployed in data centers or business-critical applications where uptime and processing speed matter. It plays a key role in supporting virtualization platforms and complex computational tasks without compromising stability. |
Use Cases |
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The HPE Xeon Gold 6234 CPU is primarily deployed in enterprise data centers where robust processing power is essential for complex, multi-threaded applications. It is well-suited for IT administrators managing virtualization platforms or running large-scale analytics and database systems requiring reliable and consistent compute resources. How It's Used:
By integrating the Xeon Gold 6234 into HPE Gen10 servers, organizations can maintain operational efficiency with scalable compute capacity tailored for demanding enterprise workloads. This CPU supports a balanced mix of cores and frequency to handle concurrent tasks effectively while facilitating workload optimization across server environments. |