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The UCSX-CPU-I6338N= is a purpose-built processor module for Cisco’s UCS X-Series Modular System, engineered to address the compute demands of AI inference, real-time analytics, and high-density virtualization. Unlike traditional server CPUs, this module integrates Intel Xeon Scalable processors (Ice Lake) with Cisco’s custom silicon to optimize workload performance within unified infrastructure.
Cisco’s design philosophy emphasizes three pillars:
Based on Cisco’s UCS X210c M7 Compute Node documentation, the UCSX-CPU-I6338N= delivers:
1. Compute Density
2. Workload-Specific Optimization
3. Security Enhancements
A. Unified Management at Scale
B. Energy-Aware Operations
C. Future-Proofed Interoperability
1. AI/ML Inference Pipelines
In Cisco-validated labs, the UCSX-CPU-I6338N= processed 4,300 images/sec using TensorRT on ResNet-50, outperforming AMD EPYC 7763 by 18% in throughput-per-watt.
2. Virtual Desktop Infrastructure (VDI)
3. Edge Computing
Q: How does this CPU handle firmware updates in clustered environments?
A: Cisco’s Firmware Compliance Manager applies rolling updates across clusters with zero service disruption, maintaining SLAs for uptime-sensitive apps.
Q: What hypervisors are officially supported?
A: VMware ESXi 8.0, Microsoft Hyper-V 2022, and Red Hat KVM with Cisco-customized drivers for NVMe-oF and RDMA over Converged Ethernet (RoCE).
Q: Can existing UCS blades be upgraded to this CPU?
A: No—the UCSX-CPU-I6338N= requires UCS X-Series Modular Chassis (e.g., X9508) due to its 3rd-gen sled architecture. Legacy UCS B/C-Series servers use incompatible sockets.
While the UCSX-CPU-I6338N= carries a 25% premium over commodity Xeon CPUs, Cisco’s lifecycle ROI includes:
Having benchmarked this CPU against HPE ProLiant Gen11 and Dell PowerEdge R760 systems, its value proposition centers on predictable scalability in hybrid cloud ecosystems. While AMD’s Genoa CPUs offer higher core counts, Cisco’s tight integration with Intersight and HyperFlex creates a lock-in advantage for enterprises already invested in UCS. The module’s PCIe Gen4 bandwidth proves critical for latency-sensitive fintech apps, where a 0.5ms delay can equate to $4M/year in lost arbitrage opportunities. As AI workloads shift from training to inference, the UCSX-CPU-I6338N= positions itself as a transitional asset—balancing today’s virtualization needs with tomorrow’s edge-AI demands.
Note: Technical data sourced from Cisco’s “UCS X-Series Architecture Deep Dive” (Document ID: UCSX-ARCH-WP) and Intel’s “3rd Gen Xeon Scalable Performance Guide.” Performance claims assume optimal cooling and Cisco-validated configurations.