Cisco UCSX-CPU-I5418NC= Hyperscale Processor:
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The Cisco RD-4208-K9 is a high-density, modular chassis designed for the Cisco UCS C4200 Series, supporting up to eight Cisco UCS C220/C240 M5/M6 Server Nodes in a 2U form factor. Engineered for hyperscale data centers, cloud service providers, and high-performance computing (HPC) environments, this chassis optimizes resource density while integrating with Cisco’s Unified Computing System (UCS) ecosystem for centralized management. Its modular design balances compute, storage, and networking scalability, making it a cornerstone for dynamic workloads like AI/ML, big data analytics, and virtualized infrastructures.
The RD-4208-K9 hosts 8x UCS C220 M6 nodes as Kubernetes worker nodes, delivering 256 vCPUs and 16 TB RAM per chassis. A 2023 deployment in a European CSP achieved 95% resource utilization via Cisco Intersight workload optimization.
With 4x NVIDIA A100 GPUs per node, the chassis supports distributed training across 32 GPUs per 2U, reducing ResNet-50 model training time by 30% compared to traditional 1U servers.
Enterprises deploy the chassis with 4x UCS C480 M5 nodes for SAP HANA workloads, achieving 12 TB memory per node and ≤200 μs latency across VMware vSphere clusters.
A: The dual 2200W PSUs support grid redundancy and N+N power feed configurations, with automatic failover ≤10 ms during grid fluctuations.
A: No. The RD-4208-K9 is compatible only with M5/M6 nodes due to revised backplane power and signaling requirements.
A: Perform biweekly airflow audits using Cisco UCS Manager, replace fan modules if RPM variance exceeds 15%, and update firmware via Cisco Intersight quarterly.
For certified refurbished chassis or bulk orders, visit the [RD-4208-K9 link to (https://itmall.sale/product-category/cisco/).
The RD-4208-K9 redefines density without compromising operational agility—a rare feat in an industry often forced to choose between scale and manageability. While competitors tout sheer node counts, Cisco’s focus on unified management and energy efficiency addresses the hidden costs of hyperscale: complexity and power sprawl. Enterprises clinging to siloed server architectures will struggle to keep pace with AI and edge computing demands. In contrast, adopters of this chassis aren’t just buying hardware; they’re investing in an architectural ethos where scalability and simplicity coexist.