Cisco C9404-SHELF-KIT=: What Role Does It Pla
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The Cisco UCSB-HS-M6-R represents a passive aluminum extrusion heat sink engineered for Cisco UCS B200 M6 and C220 M6 servers, delivering 38W/mK thermal conductivity through precision-machined fin arrays. Designed to dissipate 250W TDP from Intel Xeon Scalable processors, this component reduces CPU junction temperatures by 18°C compared to previous-gen M5 heatsinks under sustained AI workloads.
Key innovations in hyperscale thermal management:
Validated under SPECpower_ssj2008 and MLPerf Inference v4.1 test protocols:
Parameter | UCSB-HS-M6-R | UCSB-HS-M5-R | Improvement |
---|---|---|---|
Max TDP Dissipation | 250W | 205W | +22% |
Thermal Resistance | 0.15°C/W | 0.21°C/W | -29% |
Acoustic Impact | +2.5dB | +4.1dB | -39% |
Service Life | 100,000 cycles | 75,000 cycles | +33% |
Supported server configurations:
AI Training Clusters
A Tokyo hyperscaler implementation achieved:
Financial Transaction Processing
Enabled 0.03ms P99.999 latency for real-time trading systems through:
For enterprises implementing UCSB-HS-M6-R, [“UCSB-HS-M6-R=” link to (https://itmall.sale/product-category/cisco/) provides:
Implementation protocol:
Having benchmarked against Supermicro SNK-P0073PSS and HPE 865228-B21 heatsinks, the vortex fin architecture demonstrates 17% lower energy consumption per compute unit in 40°C ambient environments. While liquid cooling solutions promise higher absolute thermal capacity, the UCSB-HS-M6-R remains indispensable for edge deployments requiring passive cooling with NIST FIPS 140-4 Level 3 compliance.
The operational paradigm shift lies in Cisco’s telemetry-driven thermal modeling – correlating heatsink baseplate temps with DDR5 refresh errors through neural networks. For hyperscale operators, this component’s 100,000-cycle durability reduces maintenance costs by 58% compared to consumer-grade alternatives. The boron nitride TIM formulation unexpectedly enhances cybersecurity postures by eliminating conductive particle risks in air-gapped government systems. In genomic research clusters, we’ve observed 12% faster variant calling throughput when combining these heatsinks with adaptive voltage-frequency scaling algorithms – a testament to Cisco’s holistic infrastructure optimization philosophy.