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Product Overview |
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The HPE P26689-B21 EPYC 7H12 processor offers a robust solution for high-demand server environments, combining a high core count with efficient performance. It fits well in enterprise data centers where virtualization and heavy computation are standard, providing the backbone for critical computing tasks. |
General Information |
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| Brand | AMD |
| Part Number | P26689-B21 |
Technical Information |
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| Processor Family | EPYC Milan |
| # Of Cores | 64 Core |
| Total Threads | 128 |
| Max Turbo Frequency | 3.3 GHz |
| Base Clock Speed | 2.6 GHz |
| PCIe Version | PCIe 4.0 |
| Lithography | 7 nm |
| Socket Type | SP3 |
| Cache | 256 MB |
| Thermal Design Power | 240 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 |
Product Description |
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The HPE P26689-B21 is a powerful 64-core processor built around the AMD EPYC 7H12 architecture. It delivers robust performance with a 2.6GHz base frequency, making it suited to handle intensive computing tasks. Often found in enterprise-grade servers, this processor is optimized for environments that require heavy multi-threading and virtualization, such as data centers and cloud computing infrastructures. IT professionals and system administrators typically choose it to boost server capabilities and maximize workload efficiency. Key Features
This processor is typically deployed in large data centers and enterprise systems where consistent, high-throughput processing is essential. Its architecture supports demanding applications, helping organizations maintain performance without compromising reliability. |
Use Cases |
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The HPE P26689-B21 EPYC 7H12 processor is ideal for enterprise data centers and cloud service providers requiring high-density, multi-threaded computing. It benefits IT architects designing scalable virtualization environments and HPC clusters where processing power and efficiency directly impact workload throughput. How It's Used:
By leveraging this processor, organizations can improve operational efficiency through consolidated server deployments, while ensuring scalable performance that adapts to evolving computational demands. Its architecture supports optimized resource allocation in mission-critical environments. |