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Thursday, February 5, 2026

Huawei takes goal at distributed information centre challenges with Xinghe AI Cloth 2.0


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The answer gives information centre operators a extra holistic strategy to their total portfolio, offering unified safety and community optimisation

The worldwide information centre (DC) trade is experiencing a surge in funding and enlargement, pushed by escalating demand for cloud providers, AI workloads, and edge computing. As soon as dominated by huge, centralised hyperscale services, the market is now shifting towards a extra distributed mannequin that locations smaller, strategically positioned DCs nearer to the top consumer. This strategic shift gives quite a few advantages to the shopper, offering enabling decrease latency, improved resilience, and higher flexibility, however it’s not with out its challenges.

Working quite a few DCs throughout totally different areas, every constructed utilizing gear from totally different distributors, is operationally complicated. From community optimisation throughout websites to cybersecurity, managing distributed DCs is dear, and tough to deploy and preserve.

On the Extremely-Broadband Discussion board (UBBF), collectively organised by Huawei and the United Nations Broadband Fee, Huawei showcased its reply to those challenges: Xinghe AI Cloth 2.0.

Constructing for the AI period

Huawei launched its first iteration of AI Cloth again in 2018 – a time when few may have imagined the velocity with which the ‘AI period’ was to reach. Nonetheless, this primary launch anticipated a lot of the strain that AI’s widespread growth and deployment would place on the DC trade, focussing on delivering zero packet loss, decrease latency, and better throughput. This offered a robust basis for AI coaching, distributed storage, and high-performance computing (HPC).

In 2025, nevertheless, merely bettering the standard community is not sufficient. Date centre operators right this moment want to AI to assist alleviate their largest ache factors: gradual deployment, guide operations, and community unreliability.

Fixing these issues has been the first focus of Huawei’s Xinghe AI Cloth 2.0, which mixes quite a lot of AI-powered options to enhance community safety, reliability, and operations and upkeep (O&M).

Huawei takes goal at distributed information centre challenges with Xinghe AI Cloth 2.0

From fault detection to community optimisation

First amongst these options is Huawei’s StarryWing Digital Map, which is coupled with AI to automate the notoriously complicated technique of cross-DC community and safety provisioning. By integrating safety information, this platform dynamically generates a safety entry matrix, which then mechanically recommends coverage options with 100% accuracy inside two minutes. This replaces a beforehand guide scripting course of that will take a typical group two days to finish.

The second component is the introduction of its AI agent, NetMaster. This platform combines 4 programs – unified detection, community automation, O&M administration platform, and visitors visualisation – utilizing over 45 APIs. This permits for pure language orchestration, enabling the automated decision of 80% of fault tickets and decreasing common decision time by over 90%. That is supported by the AI Eagle Eye Engine, which makes use of Huawei’s proprietary IFIT (In-situ Circulate Data Telemetry) know-how to detect and localise faults in seconds, in comparison with the hours that has lengthy been the norm.

Lastly, the Xinghe AI Cloth 2.0 is aiming to dramatically scale back the affect of community outages for DC community operators. It’s Information Airplane Crossing Faults (DPCF) know-how makes use of clever identification and computerized switching to scale back community fault restoration time from hours to minutes, whereas its Dynamic Path Quick Restoration (DPFR) know-how resolves native failures in simply 1ms. Lastly, its M-LAG know-how focuses on the hyperlink itself, utilizing optical module channel safety to enhance its reliability ten-fold. Mixed, this three-layer strategy to outages provides vital resilience, making certain most uptime throughout deployments.

An automation philosophy: Utilizing AI to help AI

By incorporating AI all through the platform’s design, DC operators’ networks are more and more optimised, but additionally versatile, in a position to reply shortly and precisely to community faults or cybersecurity incidents with out guide oversight. With service calls for from enterprise prospects, latency-sensitive purposes, and AI workloads growing in prominence, the flexibility for networks to self-deploy, self-heal, and self-optimise will quickly grow to be a necessity.

Finally, Xinghe AI Cloth 2.0 is the pure evolution of DC community structure, representing the newest instance of Huawei’s prevailing design philosophy of leveraging AI to help AI, right here referred to as ‘AI for Cloth and Cloth for AI’. Huawei is quickly embracing AI all through its portfolio, constructing programs that may self-evolve to satisfy the altering wants of a quickly altering AI world.

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