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Cisco UCSX-CPU-A9684X | EPYC 9684X | 2.55 GHz | 1152MB L3 | DDR5

SKU:UCSX-CPU-A9684X

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Description

Cache-optimized processor option for Cisco UCS X‑Series, built for in-memory databases, EDA, and HPC workflows that benefit from very large L3 capacity. The 9684X features an ultra-large 1152 MB L3 footprint (3D-stacked) to keep datasets closer to the cores and reduce memory latency stalls. Pair with high-bandwidth DDR5 for outstanding performance on cache-sensitive applications.

Features

- Massive 1152 MB L3 cache for exceptional cache-hit rates
- Optimized for latency-sensitive, cache-bound applications
- DDR5 memory support for high bandwidth
- Engineered for Cisco UCS X-Series integration and manageability
- Scales efficiently for database, EDA, and HPC workloads

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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FAQs

Technical Specifications

FAQs

Q: What distinguishes the 9684X from standard models?
A: It offers an ultra-large L3 cache (3D-stacked) to accelerate cache-bound workloads such as databases and EDA.

Q: Is this CPU supported in all UCS X-Series nodes?
A: Support varies by compute node and firmware. Verify the UCS HCL and the node’s release notes before deployment.

Q: Which memory should be used?
A: Use qualified DDR5 RDIMMs per the server’s memory QVL and population guidelines.

Q: Are there special BIOS settings for best performance?
A: Cache-sensitive workloads may benefit from tuning NUMA, memory interleaving, and power/performance profiles documented by Cisco/AMD.

Technical Specifications

- CPU model: 9684X
- Base frequency: 2.55 GHz
- L3 cache: 1152 MB (high-capacity, 3D-stacked)
- Memory support: DDR5 RDIMM
- Socket: SP5 (LGA 6096)
- Platform: Cisco UCS X-Series compute nodes (model/BIOS dependent)
- Target workloads: In-memory DB, EDA, HPC, cache-sensitive analytics

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