UCS-M2-192TB=: Cisco\’s Exascale Storag
Core Architecture & Hardware Design The UCS-M...
The Cisco HCI-CPU-I4510T= is a dedicated processor and memory module designed for Cisco’s HyperFlex HX-Series nodes, specifically the HX220c M5 All-NVMe platform. Part of Cisco’s hyperconverged infrastructure (HCI) ecosystem, this component enables compute density and workload optimization for virtualized environments, hybrid cloud deployments, and data-intensive applications like AI/ML.
Cisco’s official documentation highlights the HCI-CPU-I4510T=’s hardware capabilities:
Performance Comparison
Feature | HCI-CPU-I4510T= | Previous Gen (HCI-CPU-6248R) |
---|---|---|
Cores per Node | 28 | 24 |
Base Clock Speed | 2.4 GHz | 2.3 GHz |
DDR4 Bandwidth | 3200 MT/s | 2933 MT/s |
The module is engineered for:
Note: Cisco’s compatibility matrix confirms the HCI-CPU-I4510T= is not backward-compatible with HX220c M4 nodes due to socket incompatibility.
The 28-core design supports 2,000+ concurrent virtual desktops per node, leveraging Intel’s Advanced Vector Extensions (AVX-512) for GPU-less rendering.
Combined with HyperFlex’s TensorCore GPU nodes, the 4510T’s Intel Deep Learning Boost accelerates model training by up to 30% compared to older CPUs.
SAP HANA and Oracle DB clusters benefit from 1.5x higher transactional throughput due to DDR4-3200’s lower latency.
No. The HCI-CPU-I4510T= is limited to PCIe Gen 4, with 64 lanes per node.
Yes. Cisco’s Flexible CPU Retention Kit allows in-field CPU swaps without node downtime.
The 4510T’s TDP Adaptive Technology dynamically reduces clock speeds during cooling failures to prevent shutdowns.
For procurement, visit the [“HCI-CPU-I4510T=” link to (https://itmall.sale/product-category/cisco/).
Having optimized HyperFlex clusters for healthcare and fintech clients, the HCI-CPU-I4510T= stands out for its balance of scalability and operational simplicity. While AMD Epyc-based rivals offer higher core counts, Cisco’s tight integration with Intel’s ecosystem ensures predictable performance in mixed workloads—critical for industries like finance where latency variability is unacceptable. For teams managing hybrid cloud transitions, this module isn’t just a CPU upgrade; it’s a strategic step toward consolidating legacy infrastructure without sacrificing agility.
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