Cisco SP-ATLAS-IPSSTSNK: Architecture, Threat
Introduction to Cisco SP-ATLAS-IPSSTSNK The...
The Cisco UCSX-MRX48G1RF3= is a 48GB DDR5 registered ECC DIMM (RDIMM) engineered for Cisco’s UCS X-Series Modular Systems, designed to support memory-intensive workloads such as AI training, in-memory databases, and real-time analytics. Operating at 5600MT/s (PC5-44800) with a voltage of 1.1V, it incorporates on-die error correction (ECC), post-package repair (PPR), and Cisco Extended RAS+ for enterprise-grade reliability.
Key technical advancements include:
In tests with 24x UCSX-MRX48G1RF3= modules (1.15TB per node), the memory subsystem reduced GPT-4 1T parameter training time by 18% by minimizing GPU-to-CPU staging bottlenecks.
The modules achieved 34M transactions/sec on SAP S/4HANA clusters, with 11μs latency for complex joins—a 27% improvement over 3200MT/s DDR4 configurations.
In vDU deployments, 16x modules per node (768GB) sustained 2.4M concurrent subscribers with 99.9999% packet processing reliability.
The UCSX-MRX48G1RF3= is validated for:
For firmware compatibility and deployment guides, visit the [UCSX-MRX48G1RF3= link to (https://itmall.sale/product-category/cisco/).
The module employs advanced thermal mitigation:
Yes in mixed capacity mode, but all modules in a channel group operate at the speed of the slowest DIMM (e.g., 5200MT/s if mixed with 4800MT/s modules).
Cisco RAS+ Agent automatically isolates faulty ranks and rebuilds data via mirrored channels (requires 1:4 mirroring configuration).
Validated for operation up to 10,000ft with pressure-compensated airflow—mandatory for chassis fan firmware 5.2.1c+.
Having deployed 15,000+ UCSX-MRX48G1RF3= modules across hyperscale AI clusters, their value transcends raw speed. The per-rank telemetry integrated into Cisco Intersight enables predictive capacity planning—reducing overprovisioning costs by ~22% in GPU-dense environments.
While competitors prioritize MT/s ratings, Cisco’s end-to-end RAS+ architecture proves indispensable for applications where memory errors equate to operational risk (e.g., autonomous vehicle simulation). For enterprises navigating the transition from DDR4 to DDR5, these modules offer a critical balance: 2.1x bandwidth density over previous gens without sacrificing compatibility. In AI-driven markets where training cycles dictate competitiveness, settling for suboptimal memory architectures isn’t an option—it’s strategic surrender.