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Product Overview |
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The HPE P16642-B21 DL385 Gen10 processor integrates a 32-core AMD EPYC 7452 CPU designed for server environments requiring solid multi-core performance. It fits into HPE's DL385 Gen10 systems and is aimed at workloads involving virtualization, data processing, and cloud services where reliability and efficiency are important. |
General Information |
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| Brand | HPE |
| Part Number | P16642-B21 |
Technical Information |
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| Processor Family | EPYC Rome |
| # Of Cores | 32 Core |
| Total Threads | 64 |
| Max Turbo Frequency | 3.35 GHz |
| Base Clock Speed | 2.35 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 128 MB |
| Thermal Design Power | 155 W |
Memory Specifications |
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| Max Memory Size | 4 TB |
| Memory Types | DDR4 |
| 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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| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV, cULus |
Product Description |
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This processor is built for the HPE DL385 Gen10 server, delivering powerful computing with its 32-core AMD EPYC 7452 chip. It's commonly used in data centers and enterprise environments where high-performance and efficient workload handling are essential. Often found in virtualization setups, database management, and cloud infrastructure, it suits IT professionals and organizations needing reliable, scalable server performance. Key Features
This processor is typically deployed in enterprise server racks and data centers where consistent processing power is critical. It plays a key role in ensuring smooth operation of large-scale computing tasks without bottlenecks. |
Use Cases |
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The HPE AMD EPYC 7452 32-core processor is tailored for enterprise-grade server deployments that demand high compute density and efficient parallel processing. It suits IT environments where virtualization, data analytics, and cloud-native applications form the core operational workload. How It's Used:
This processor enhances operational efficiency by delivering scalable core counts and strong multi-threading capabilities, enabling organizations to manage complex workloads effectively while maintaining system responsiveness and resource utilization. |