400 GE Ultra-Broadband Unleashes Mass Computing Power
With an upgraded hardware switching platform, orthogonal architecture, and no backplane, CloudEngine 16800 breaks through multiple technical challenges, from high-speed signal transmission to heat dissipation and power supply. It features a high-density 48-port 400 GE line card per slot and 768-port 400 GE switching capacity — five times the industry average — meeting the exponential growth of traffic in the intelligent era. In addition, power consumption per bit is reduced by 50%, ensuring greener operations.
Lossless Ethernet Unleashes 100% of AI Computing Power
CloudEngine 16800 is a great choice for building lossless networks with maximum throughput and minimum latency. This is achieved thanks to Huawei's innovative iLossless algorithm that:
• Enables automatic adaptation and optimization of traffic models.
• Unleashes 100% of AI computing power, compared to 50% over traditional Ethernet.
• Improves data storage Input/Output Operations Per Second (IOPS) by 30%.
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27%
Data calculation efficiency
478/s
(Number of AI training samples [iteration/s])
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30%
Data calculation efficiency
1256/s
11,670/s
(Storage IOPS)
Full-Lifecycle Automated Management Enables an L3 ADN for Data Centers
With CloudEngine 16800 and iMaster NCE- Fabric — Huawei's intelligent network management and control system — Huawei has successfully built an L3 Autonomous Driving Network (ADN) for data centers, the first in the industry that the independent assessment organization, the Tolly Group, has ever verified. This future-proofed network achieves service provisioning in seconds, implementing error-free network changes. Huawei has also innovated knowledge graphs for network Operations and Maintenance (O&M), allowing networks to rapidly locate faults in 3 minutes, as well as proactively predict up to 90% of risks.
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SDN
Semi-automated
Network design: Expert experience-dependent + tool-assisted.
Configuration change: Manual comparison.
Troubleshooting: Expert experience-dependent (location) + manual rectification.
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ADN
Fully automated
Intent-driven network recommendation, enabling zero-touch service rollout.
Pre-event simulation + post-event verification, enabling error-free network changes.
Network self-optimization, self-healing, and self-governance, eliminating service interruptions.