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Product Overview |
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The HPE P69691-B21 EPYC 9684X processor offers 128 cores running at 2.25GHz, delivering the heavy-duty performance needed for modern server workloads. It fits into enterprise-grade servers that handle virtualization, large databases, and compute-intensive applications, providing reliable, scalable processing power without unnecessary complexity. |
General Information |
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| Brand | AMD |
| Part Number | P69691-B21 |
Technical Information |
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| Processor Family | EPYC Genoa |
| Total Threads | 256 |
| Max Turbo Frequency | 4.15 GHz |
| Base Clock Speed | 2.25 GHz |
| PCIe Version | PCIe 5.0 |
| Lithography | 5 nm |
| Socket Type | SP5 |
| Cache | 512 MB |
| Thermal Design Power | 360 W |
Memory Specifications |
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| Max Memory Size | 6 TB |
| Memory Types | DDR5 |
| Max Memory Channels | 12 |
| Bandwidth | 499.2 GB/s |
Physical Characteristics |
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| Weight | 5.00 |
| Condition | Refurbished |
Miscellaneous |
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| Compliance Standards | RoHS, CE, FCC |
Product Description |
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This HPE P69691-B21 processor is built for demanding server environments needing massive parallel computing power. It’s often found in data centers where large-scale virtualization, cloud applications, and high-performance computing tasks require smooth, reliable processing. Engineered for IT professionals managing complex workloads, this processor helps accelerate data flow and workload efficiency. It’s commonly used in enterprise servers that support virtualization, big data analytics, and scientific simulations. Key Features
This processor typically powers high-performance servers in cloud computing and enterprise data centers. It plays a crucial role in environments where processing large datasets quickly and securely is essential. |
Use Cases |
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The HPE P69691-B21 EPYC 9684X processor is commonly deployed in environments that require high core density and parallel processing capabilities. It is ideal for enterprise data centers and cloud service providers managing complex virtualization setups, large-scale databases, and compute-heavy analytics workloads. How It's Used:
This processor enhances operational efficiency by consolidating workloads onto fewer physical servers, reducing complexity while supporting scalability. Its multi-core architecture ensures sustained performance for demanding, parallelized applications common in enterprise and cloud environments. |