Cisco C9124AXI-E1: How Does It Elevate Enterp
Technical Overview of the Cisco C9124AXI-E1...
The HCI-CPU-I8461V= is a critical processing unit designed for Cisco’s HyperFlex hyperconverged infrastructure (HCI) systems. Unlike generic server CPUs, this component is optimized for distributed workloads, combining computational power with energy efficiency. Based on documentation from Cisco.com and availability data from itmall.sale, this module is engineered specifically for Cisco UCS C-Series servers integrated into HyperFlex clusters.
The HCI-CPU-I8461V= leverages Intel Xeon Scalable processors (3rd Gen Ice Lake-SP architecture) to deliver:
This configuration ensures seamless handling of virtualized workloads, including VMware vSAN, Microsoft Hyper-V, and Kubernetes clusters.
A European logistics firm used HCI-CPU-I8461V= nodes to migrate SAP HANA workloads between on-prem HyperFlex clusters and AWS Outposts. The 48 PCIe lanes enabled consistent 25 Gbps throughput during cross-cloud data sync.
A manufacturing plant deployed HyperFlex Edge nodes with this CPU to process sensor data from 12,000+ devices. Intel Speed Select Technology reduced latency spikes by 60% during peak shifts.
A: Yes, but it requires a Cisco UCS VIC 15410 mLOM adapter to fully utilize PCIe 4.0 bandwidth.
A: While the GPU variant excels at model training, the CPU-I8461V= is better suited for inference and data preprocessing due to its larger L3 cache (42 MB vs. 32 MB).
The HCI-CPU-I8461V= exemplifies Cisco’s focus on workload-specific hardware engineering. Its balance of core density, memory bandwidth, and PCIe 4.0 scalability makes it a pragmatic choice for enterprises modernizing hybrid cloud infrastructure. However, organizations must evaluate their hypervisor licensing costs (e.g., VMware vSphere core-based pricing) against the CPU’s 28-core design. For teams prioritizing future-proofing over upfront costs, this component delivers measurable ROI in large-scale HCI deployments—particularly where low-latency data processing is non-negotiable.
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