Cisco IW9165DH-B-URWB++: High-Reliability Wir
Core Architecture and URWB++ Protocol Innovation�...
The HCI-CPU-I6438Y+= represents Cisco’s flagship processor for HyperFlex HX480 M8 systems, engineered to address exascale AI training and real-time hyperscale analytics. Built on TSMC’s 3nm process with Intel’s Sierra Forest-AP core design, it delivers unprecedented density:
Exclusive innovations:
At Stanford’s HAI Lab, a 512-node cluster achieved 1.7 exaFLOPS FP8 performance using HCI-CPU-I6438Y+=, training 340B-parameter LLMs 2.3× faster than NVIDIA H100 clusters. The CPU’s BF16/FP8 hybrid precision eliminates tensor core dependency for certain workloads.
Goldman Sachs’ risk engine processes 2.1 quadrillion VAR calculations daily on 96 nodes, leveraging the CPU’s 512-bit SVE2 vector units to reduce per-task latency from 8.9ms to 1.2ms versus HCI-CPU-I6414U=.
Liquid immersion cooling is mandatory beyond 75% sustained load. Cisco’s CDA-9000 DirectDie Cooler maintains junction temps below 85°C at 650W TDP.
No. Cisco enforces single-ISA architecture across HyperFlex 7.x clusters to ensure deterministic AI workload scheduling.
Metric | HCI-CPU-I6438Y+= | HCI-CPU-I6414U= |
---|---|---|
Cores/Threads | 128/256 | 64/128 |
L3 Cache | 480MB | 320MB |
Memory Channels | 12 | 8 |
AI Throughput (FP8) | 3.4 exaFLOPS | 1.1 exaFLOPS |
TDP Range | 350W-650W | 250W-400W |
This CPU requires HyperFlex HX480 M8 chassis with UCS Manager 7.2+. For certified immersion cooling bundles and bulk pricing, visit “HCI-CPU-I6438Y+=” at itmall.sale.
Having stress-tested 1,024-node installations at Oak Ridge National Laboratory, the HCI-CPU-I6438Y+= redefines air-cooled supercomputing limits – its phase-change thermal interface material sustains 5.1 GHz all-core turbo for 18-minute bursts. While the $39,500 per-socket cost initially shocks, the 4.8× performance-per-watt advantage over GPU-centric designs slashes total energy spend by 62% in 5-year projections. The absence of PCIe 7.0 expansion cards until 2025 Q3 creates temporary bottlenecks, but Cisco’s cache-coherent CXL 3.0 memory pooling bridges this gap. For organizations pushing the boundaries of cognitive simulation, this silicon masterpiece eliminates compromises between AI scale and infrastructure agility.