C1131X-8PLTEPWE Catalyst Switch: What Does It
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Defining the HCI-MR-X32G1RW= in Cisco’s Ecosystem
The HCI-MR-X32G1RW= is a high-density memory module engineered for Cisco’s HyperFlex hyperconverged infrastructure (HCI) systems. Designed to maximize virtual machine (VM) density and storage performance, this 32GB DDR4-2666 registered ECC RAM module operates at 1.2V with a latency of CL19. Key features include:
- Form Factor: 288-pin RDIMM
- Error Correction: On-die ECC for data integrity
- Operating Temp: 0°C to 85°C (industrial-grade reliability)
- Compatibility: Optimized for Cisco UCS C480 M5 ML nodes in HyperFlex clusters
Unlike generic server memory, the HCI-MR-X32G1RW= is pre-validated for Cisco’s HyperFlex Data Platform (HXDP), ensuring seamless integration with log-structured storage and deduplication workflows.
Technical Breakdown: Why This Module Matters
1. Hyperconverged Workload Optimization
The module’s 2666 MT/s speed reduces latency in read/write operations for HXDP’s distributed file system. In benchmarks, replacing 2400 MT/s RAM boosted VM boot times by 18% and reduced storage vMotion latency by 22% (Cisco HX 4.5 Release Notes).
2. Fault Tolerance
On-die ECC corrects single-bit errors and detects multi-bit errors, critical for maintaining uptime in large-scale clusters. This is non-negotiable for financial or healthcare deployments where data corruption risks are catastrophic.
3. Power Efficiency
At 1.2V, the HCI-MR-X32G1RW= consumes 15% less power than 1.35V LRDIMMs, aligning with Cisco’s sustainability goals for data centers.
Compatibility: Supported HyperFlex Systems
This module is certified for:
- HyperFlex HX220c M5 Nodes: Base configurations (4–8 nodes)
- HyperFlex HX240c M5 Nodes: All-flash clusters with NVMe caching
- HyperFlex Edge HXAF4C Nodes: Remote offices with limited cooling
Critical Note: The “MR” in the SKU denotes “Memory Registered,” which requires motherboard support for RDIMMs. Do not mix with LRDIMMs or UDIMMs in the same chassis.
Performance Comparison: HCI-MR-X32G1RW= vs. Alternatives
| Metric | HCI-MR-X32G1RW= | HCI-MR-X16G4RW= (16GB) | Third-Party 32GB RDIMM |
|---|---|---|---|
| Max Bandwidth | 21.3 GB/s | 19.2 GB/s | 21.3 GB/s |
| VM Density | 140 VMs/node | 100 VMs/node | 120 VMs/node (untested) |
| HXDP Compatibility | Fully validated | Partial support | Unsupported (risk of HXDP crashes) |
Deployment Scenarios and Best Practices
1. All-Flash HyperFlex Clusters
Pair 8–12 HCI-MR-X32G1RW= modules per node to handle >100k IOPS from NVMe-driven databases like SAP HANA.
2. Edge Computing
In harsh environments (e.g., factories), the module’s industrial temp range ensures stability where standard RAM fails.
3. Disaster Recovery
Leverage Cisco Intersight to replicate VM states across clusters, utilizing the RAM’s low latency for rapid failover.
Troubleshooting Common Memory Issues
“POST Error Code 0xE0” (Memory Mismatch)
- Cause: Mixing RDIMMs with non-RDIMMs in a Cisco UCS blade.
- Fix: Reconfigure DIMMs in matched sets per Cisco’s Memory Population Guidelines.
HyperFlex Node Fails to Join Cluster
- Cause: Non-Cisco RAM triggers HXDP’s hardware validation checks.
- Fix: Replace incompatible modules with HCI-MR-X32G1RW= and reboot.
Why Firmware Synergy Matters
Cisco’s UCS Manager 4.2+ requires specific DIMM firmware to enable:
- Patrol Scrubbing: Proactive error correction.
- Address Parity Protection: Prevents memory address corruption.
- Thermal Throttling: Auto-reduces clock speed at >80°C.
Where to Source Guaranteed-Compatible Modules
Counterfeit memory remains rampant in secondary markets. For assured performance:
Purchase HCI-MR-X32G1RW= exclusively via itmall.sale’s Cisco-certified inventory.
Final Take: Balancing Cost and Risk
While third-party RDIMMs may seem cost-effective, the HCI-MR-X32G1RW= eliminates guesswork in HyperFlex deployments. For enterprises running Tier-1 apps, the 10–15% premium over generic RAM is justified by Cisco’s end-to-end validation and support. However, in lab environments or non-critical workloads, refurbished modules could suffice—if you’re willing to gamble on stability. The choice hinges on whether downtime costs more than upfront savings.