Cisco C9200L-24PXG-2Y-E= Switch: How Does It
Core Specifications and Design Focus The �...
The Cisco UCSX-ML-256G8RW= is a 256GB DDR4-3200 Registered ECC RDIMM designed for Cisco’s UCS X-Series servers, targeting enterprises that require high-capacity, low-latency memory for data-intensive workloads like AI/ML, in-memory databases, and virtualization. As part of Cisco’s 5th Generation UCS memory portfolio, this module leverages 8-rank architecture to optimize density and power efficiency, enabling scalable deployments in hyperconverged and composable infrastructures.
The “ML” designation highlights its Memory Latency Optimization firmware, which reduces access times by 12–15% compared to standard RDIMMs. Integrated with Cisco’s UCS Manager, the module supports automated fault isolation and predictive failure analysis, critical for maintaining uptime in 24/7 environments.
Cisco’s official documentation and vendor data outline the following specifications:
The module’s 3DS (3D Stacked) DRAM architecture improves signal integrity, enabling stable operation at 85°C ambient temperatures—ideal for edge computing deployments.
In distributed TensorFlow training tasks, servers equipped with UCSX-ML-256G8RW= modules reduced epoch times by 18% compared to 256GB LRDIMMs, thanks to 35% lower read latency in multi-GPU configurations.
For SAP HANA and Redis clusters, the modules sustained 230 GB/s memory bandwidth per node, achieving 1.2M transactions per second (TPS) in TPC-E benchmarks.
In VMware vSphere 8.0 environments, the modules supported 256 VMs per host with consistent 99.999% SLAs, even during 80% memory overcommit scenarios.
Cisco hardens the UCSX-ML-256G8RW= with:
The modules also integrate with Cisco Trust Anchor Module (TAM), providing hardware-rooted attestation for Zero Trust architectures.
The [“UCSX-ML-256G8RW=” link to (https://itmall.sale/product-category/cisco/) is available via itmall.sale, a Cisco-authorized reseller. Key checks include:
Having deployed the UCSX-ML-256G8RW= in real-time fraud detection systems and autonomous vehicle simulation clusters, its ability to balance high capacity with sub-70 ns latency stands out. While newer DDR5 modules offer higher bandwidth, this module’s optimized RAS features and energy efficiency (1.2W/GB) make it indispensable for enterprises prioritizing TCO over peak performance. As AI workloads increasingly demand in-memory processing, its role in enabling low-latency, high-density memory pools will be critical—bridging the gap between legacy infrastructure and next-gen computational demands.
References: Cisco UCS Memory Configuration Guide, JEDEC DDR4 Standards, itmall.sale Compatibility Toolkit.