• Cisco UCS-CPU-A7252 AMD EPYC 7252 8-core 3.1GHz processor
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Cisco

Cisco UCS-CPU-A7252 | EPYC 7252: 8C/16T 3.1GHz, 64MB L3, 120W, DDR4-3200 (8-ch), SP3, PCIe 4.0 x128, 1P/2P

UCS-CPU-A7252

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Description

Versatile EPYC 7002-series CPU with larger L3 cache for improved latency-sensitive workloads and robust PCIe 4.0 I/O. Suitable for UCS single- or dual-socket deployments in virtualization, databases, and application servers.

Features

- Larger 64 MB L3 cache for latency-sensitive applications
- 8-channel DDR4-3200 memory bandwidth
- 128 PCIe 4.0 lanes for high-performance I/O
- SEV/SME memory encryption and enterprise virtualization support
- Flexible deployment: single- or dual-socket UCS servers

Warranty

All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.

All technical data should be verified on the manufacturer data sheets.

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Technical Specifications

FAQs

Technical Specifications

- Processor model: EPYC 7252 (Rome)
- Architecture: Zen 2, 7nm
- Cores/Threads: 8/16
- Base frequency: 3.1 GHz
- Max boost frequency: up to 3.2 GHz
- L3 cache: 64 MB
- TDP: 120 W
- Socket: SP3
- Memory: 8-channel DDR4-3200, ECC RDIMM/LRDIMM (capacity platform-dependent)
- PCIe: 128 lanes, PCIe 4.0
- Security: SEV/SME
- Virtualization: AMD-V, IOMMU
- Multi-socket support: 1P/2P (single- or dual-socket)

FAQs

Q: What is the key benefit over the 7232P?
A: The 7252 offers a larger 64 MB L3 cache and supports both single- and dual-socket configurations.

Q: Does it support PCIe 4.0 NVMe storage?
A: Yes. It provides 128 PCIe 4.0 lanes suitable for dense NVMe and accelerator configurations.

Q: Is DDR4-3200 supported across all memory channels?
A: Yes. It supports 8-channel DDR4-3200 with ECC RDIMM/LRDIMM (actual speeds and capacities depend on the system).

Q: Is this CPU good for virtualization?
A: Yes. It combines strong per-core performance with ample I/O and a large L3 cache, ideal for virtualized workloads.

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