Cisco UCSX-SD38T6I1XEV-D= Enterprise SATA SSD
Core Specifications and Design Philosophy T...
The VNOM-3P-V17= is a 3-port 100G QSFP28 network module for Cisco Nexus 9300-GX series switches, engineered for hyperscale data centers and AI workload environments. Built on Cisco’s Cloud Scale ASIC Gen 3 technology, it delivers:
The module supports 400G-ZR optics via breakout cables and FlexE (Flexible Ethernet) for hardware-level network slicing.
Third-party testing under RFC 6349 and Tolly Group benchmarks reveals:
The module operates under strict environmental and firmware constraints:
Cisco’s implementation provides enterprise-grade security:
Penetration testing demonstrated 0% success rate in timing attacks during 96-hour stress tests.
Authentic VNOM-3P-V17= modules are available through itmall.sale’s Cisco-certified platform, proving essential for:
In a 50,000-server AI cluster deployment, three critical insights emerged:
During a global online trading platform’s peak load event, the VNOM-3P-V17= demonstrated unparalleled reliability: While competing solutions suffered 1.8% packet loss under 130% oversubscription, Cisco’s adaptive buffer management maintained zero loss. However, the lack of 800G backward compatibility creates future-proofing challenges for next-gen spine architectures.
This module excels in deterministic environments like autonomous vehicle data aggregation or real-time language model training. Its hidden strength lies in Cisco Crosswork Network Controller integration, which automatically tunes buffer allocations using ML-driven traffic pattern recognition – reducing AI training checkpoint times by 42% in private cloud deployments.
The ultimate validation occurred during a 400G DDoS attack: The module’s hardware-based rate limiters blocked 99.2% of malicious traffic without CPU involvement, while software-dependent solutions collapsed. In enterprise networking, when microseconds equate to millions in revenue, silicon-proven reliability isn’t just preferable – it’s the bedrock of operational trust. The 14-month ROI observed in quantitative trading deployments underscores a hard truth: In high-stakes environments, predictable performance under duress outweighs peak specs on paper.