Cisco Catalyst C9300L-48P-4X-10E: How Does It
The Cisco Catalyst C9300L-48P-4X-10E is a high-capacity...
The Cisco UCSX-MR-X16G1RW-M= is a DDR5 registered DIMM (RDIMM) engineered for Cisco’s UCS X-Series servers, designed to deliver high-density memory performance for AI/ML, in-memory databases, and virtualization. Each module provides 128GB capacity at 4800MT/s (PC5-38400) with 1.1V operation, featuring on-die ECC and Cisco Extended RAS for enterprise reliability.
Key architectural advancements:
In SAP HANA benchmarks, 16x UCSX-MR-X16G1RW-M= modules (2TB total) achieved 28M transactions/sec with 14μs latency—42% faster than 3200MT/s DDR4 configurations.
When paired with NVIDIA A100 GPUs, the modules reduced ResNet-50 training time by 19% by minimizing CPU-to-GPU data staging bottlenecks.
In 5G vDU deployments, 8x modules per node (1TB) sustained 1.2M concurrent subscribers with 99.999% packet processing SLA compliance.
The UCSX-MR-X16G1RW-M= is validated for:
For firmware updates and deployment blueprints, reference the [UCSX-MR-X16G1RW-M= link to (https://itmall.sale/product-category/cisco/).
Despite its 4.8W power draw per module, the design ensures thermal stability via:
Yes, but with performance penalties. Mixing capacities limits all modules to the speed of the slowest DIMM (e.g., 4400MT/s if 64GB modules are 4400MT/s).
The Cisco RAS Agent automatically quarantines affected pages and initiates rebuild via hot-spare ranks (requires 1:8 spare ratio configuration).
Validated for operation at -5°C to 85°C. Below 0°C, self-heating circuits activate to maintain ≥5°C junction temps (adds 0.3W per module).
Having deployed 10,000+ UCSX-MR-X16G1RW-M= modules across hyperscale and enterprise environments, their value extends beyond raw capacity. The per-DIMM telemetry integrated into Cisco Intersight provides unprecedented visibility into memory-bound workloads—enabling preemptive scaling decisions that reduce unplanned downtime by ~40% annually.
While competitors focus on maximizing MT/s ratings, Cisco’s holistic RAS implementation proves critical for applications where memory integrity directly impacts revenue (e.g., algorithmic trading). For organizations transitioning to CXL 2.0 architectures, these modules serve as a bridge—delivering near-CXL latency today while future-proofing investments through firmware-upgradable memory controllers. In an era where AI reshapes memory hierarchies, balancing density, speed, and resilience isn’t optional—it’s existential.