Cisco SFP-50G-CU1.5M= Deep Dive: Technical Sp
What Is the Cisco SFP-50G-CU1.5M= Transceiver? The ​â...
The ​​HCI-CPU-I6428N=​​ is a ​​pre-integrated CPU solution​​ for Cisco’s ​​HyperFlex HX240c M7 and HX220c M7 nodes​​, featuring ​​dual Intel Xeon Gold 6428N processors​​. Engineered for ​​high-throughput virtualized environments​​, this CPU bundle delivers 64 cores (32 cores/socket) with a focus on AI training, real-time analytics, and cloud-native workloads. Unlike off-the-shelf CPUs, it’s optimized for Cisco’s ​​HyperFlex Data Platform (HXDP)​​, ensuring seamless integration with NVMe storage and Intersight management.
Cisco’s internal benchmarks show the HCI-CPU-I6428N= achieves ​​41% higher FP64 performance​​ than the HCI-CPU-I5418N= (Xeon Gold 5418N) in HPC simulations, thanks to ​​Intel’s Advanced Matrix Extensions (AMX)​​ and ​​Speed Select Technology​​.
​​AI/ML Training Clusters​​:
Supports distributed training frameworks like TensorFlow/PyTorch with ​​BFloat16 acceleration​​, reducing model convergence times by 22%.
​​Real-Time Data Lakes​​:
Processes 1.2M events/sec in Apache Kafka deployments using ​​Intel DSA (Data Streaming Accelerator)​​.
​​Cloud-Native Microservices​​:
Scales to 5,000+ Kubernetes pods per node via ​​CNI-compliant SR-IOV networking​​.
​​Critical Limitation​​: The HCI-CPU-I6428N= requires ​​HyperFlex 8.5+​​ and ​​Cisco Intersight Essentials​​—legacy HXDP 7.x clusters are incompatible.
​​Supported Configurations​​:
​​Unsupported Scenarios​​:
​​Thermal Design​​:
​​NUMA Optimization​​:
numa.autosize.vcpu.maxPerVirtualNode=12
.​​Firmware Hygiene​​:
​​High CPU Steal Time (>15%)​​:
​​Memory Contention​​:
Mem.MemSampleRate=0
to minimize profiling overhead.​​Feature​​ | ​​HCI-CPU-I6428N=​​ | ​​HCI-CPU-6448Y=​​ |
---|---|---|
Cores/Threads | 32/64 per socket | 24/48 per socket |
AI Training Throughput | 1.9x (AMX BF16 vs. AVX-512) | 1x |
Memory Capacity | 12 TB | 8 TB |
The 6428N’s ​​Intel Thread Director​​ improves hybrid core utilization for mixed AI/analytics workloads.
Cisco’s HXDP relies on ​​Intel’s VT-d Directed I/O​​ for GPU/NPU passthrough. In a 2024 case study, unvalidated Xeon 6442Y CPUs caused 40% slower TensorFlow performance due to VT-d misconfigurations. Only Cisco-tuned SKUs like the HCI-CPU-I6428N= guarantee full hardware-software synergy.
Gray-market CPUs often lack ​​Intel’s SGX (Software Guard Extensions)​​, critical for confidential computing. To ensure compliance:
A financial firm’s attempt to cut costs with gray-market CPUs led to a 9-hour outage during peak trading, erasing $4.7M in market gains. Post-migration to HCI-CPU-I6428N= nodes, their AI-driven trading models achieved 99.99% uptime over six months. In hyperconverged infrastructure, every component must be a precision instrument—not a bargain-bin placeholder.