SHANGHAI, Sept. 21, 2026 /PRNewswire/ -- At HUAWEI CONNECT 2026, Huawei hosted the AI DC Innovation Summit themed "Leading AI DC Innovation, Shaping the Agentic World," convening over 600 industry leaders and researchers. During the event, Huawei unveiled its upgraded Stellar AI Fabric Solution to deliver continuous uptime and maximum compute utilization for production AI clusters.
Keynote: Engineering the Network Fabric for Agentic AI
Erick Zhang, President of Data Center Network Domain at Huawei Data Communication Product Line, noted that AI is turning traditional data centers into compute factories. In this agentic era, the underlying network fabric directly dictates token throughput and overall compute yield.
To address this demand, the upgraded Stellar AI Fabric integrates Rock-Solid Architecture 2.0, StarryWing Digital Map 2.0, Hyper-Converged Fabric (HCF), and Network Packet Load Balancing (NPLB). The upgraded NetMaster network AI agent automates root-cause analysis for 95% of network faults within minutes, maintaining consistent production uptime.
High-Throughput Hardware Platforms
Huawei launched two switch families built for high-density computing:
- CloudEngine SF9300 (UBG switch): Uses a two-layer multi-plane architecture that cuts buildout costs by 30%. Simplified UB forwarding lowers end-to-end latency by 40%. For link reliability, Link-Layer Retransmission (LLR) executes microsecond-level recovery, eliminating packet loss during link flapping.
- CloudEngine XH9300 (NPO switch): Delivers proprietary 100T and 51.2T. A centralized light source and proprietary 3.2T Optical Engine (OE) lower interconnect power draw by 40%. By eliminating the optical DSP (oDSP) stage, the architecture cuts forwarding latency by 26%, while snap-in pluggable optical engines speed up maintenance tenfold.
Financial Industry Standard and Research Deployment
The Beijing FinTech Industry Alliance, Huawei, and 17 partners released the Technical Specification for Network High Availability of Financial Data Center. The standard defines technical baselines and testing methods across two categories and five network types for both intra-DC and cross-DC environments, evaluating architectural redundancy, fault recovery, and proactive prevention.
In scientific research, Qi Fazhi, Computing Center Director at the Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, reported that deploying the Stellar AI Fabric lifted computing efficiency by over 10%. Network-wide load balancing resolved training traffic imbalances, providing unhindered throughput for massive telemetry data and accelerating deep-space signal analysis.
Moving forward, Huawei continues to invest in intelligent data center networking with global partners to advance next-generation compute infrastructure.
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HUAWEI CONNECT 2026 | Huawei Upgrades Stellar AI Fabric Solution to Build Efficient AI Computing Production Networks
SHANGHAI, Sept. 21, 2026 /PRNewswire/ -- On September 17 at HUAWEI CONNECT 2026, Huawei released the Huawei AIFW Technical White Paper during the session themed "Solidifying Network Security Foundations to Safeguard Industrial Intelligence Implementation." The White Paper systematically presents the architectural concept and key technologies of next-generation AI firewalls (AIFW) tailored for the AI era. Richard Wu, President of the Security Product Domain of Huawei's Data Communication Product Line, and Jeff Wang, President of Huawei Cyber Security & Privacy Dept, jointly attended the launch ceremony.
From Rule-Driven to Intent-Aware: Reshaping Security Defense Logic
As LLMs, AI agents, and compute clusters scale across industries, the cyber threat landscape is fundamentally shifting. Confronted with emerging risks like prompt injection, sensitive data leakage, and compute misuse, traditional rule-matching systems fall short due to delayed rule updates and limited semantic understanding.
According to the White Paper, AIFW integrates AI-native hardware, LLMs, and intelligence and security knowledge bases to shift defense focus from traffic protection to behavior governance. Leveraging full-spectrum awareness, semantic understanding, risk reasoning, and intent recognition, AIFW accurately pinpoints AI-specific risks such as DGA domains, prompt injection, and unauthorized content exfiltration. This marks a transition from rule-driven to intelligence-driven and from static policies to policy autonomy to protect AI computing centers, enterprise AI agents, and LLM operations.
AI-Native Hardware Foundation: Building Native Security Resilience with High Reliability
The White Paper details the AIFW's native hardware architecture. Leveraging hardware-software synergy, performance across post-quantum cryptography, rule matching, and AI inference achieves order-of-magnitude improvements. Featuring 99.999% carrier-grade reliability, the product utilizes hardware decoupling, software isolation, and an engine-level root of trust to deliver robust survivability and rapid recovery. By preventing vulnerability exploitation and establishing native security immunity, it ensures uninterrupted core operations during extreme network attacks or failures.
Policy Autonomy and Intelligent Operations: Advancing Toward Human-Like Closed-Loop Defense
Addressing traditional security operation pain points—such as outdated rules, insufficient synergy, and complex management—AIFW achieves policy autonomy through unified security semantics and intelligent reasoning. The AIFW automatically identifies and remediates policy gaps and dynamically optimizes policies alongside service shifts. This establishes a human-like closed loop across awareness, decision-making, and response, significantly easing the operational burden on enterprises.
Moving forward, Huawei will continue collaborating with customers and partners to build an intelligent, efficient, autonomous, and trustworthy next-generation network security ecosystem.
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Huawei Releases an AIFW Technical White Paper to Facilitate Firewall Upgrade