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MoreZTE Global Intelligent Computing Ecosystem Congress Successfully Concludes in Malaysia
Kuala Lumpur, Malaysia, September 9, 2026 – ZTE Corporation (0763.HK / 000063.SZ), a global leading provider of integrated information and communication technology solutions, successfully hosted the 2026 ZTE Global Intelligent Computing Ecosystem Congress, under the theme "Infinite Intelligence, Thriving Together". Centered on the co-evolution of intelligent computing infrastructure and AI models, the congress brought together representatives from global chip and computing vendors, cloud and internet companies, as well as academic experts. Participants engaged in in-depth discussions on cutting-edge topics including computing evolution in the era of large models, rising demands for Agents and Tokens, inference efficiency enhancement, next-generation cloud infrastructure, SuperPOD architecture, and open intelligent computing ecosystems, jointly exploring the technological trends and industrial practices of future intelligent computing infrastructure.
AI is currently accelerating its transition from model capability evolution to large-scale deployment. Concurrently, computing power demands are shifting from training to inference, and expanding from standalone models to new-form applications such as Agents. In this process, Tokens are increasingly becoming a crucial metric for measuring the efficiency and costs of AI applications. Therefore, how to continuously improve computing power efficiency and reduce token costs has become key to advance AI from technological innovation to democratize computing power at scale. Centered on this core issue, ZTE and its global industry partners are exploring multiple dimensions-including computing infrastructure, chips and software, cloud platforms, intelligent agents, and industry applications to jointly forge new pathways for AI industry development.
AI in the Token Era: Accelerating Infrastructure Restructuring
Zhang Wanchun, Senior Vice President of ZTE, stated in his opening speech that AI is entering a phase driven by the Tokenomics. Token has become the core unit of measurement for this new economic model. AI technology architectures, computing models, and business paradigms are being reshaped at an accelerating pace. ZTE follows the paths of open decoupling, diverse computing, and extreme synergy to build end-to-end intelligent computing solutions. With continuous deployments across industries such as telecommunications, finance, and healthcare, ZTE is committed to working with global partners to build an open and win-win intelligent computing ecosystem. With the continuous development of AI applications, computing infrastructure must further adapt to surging inference demands. A more open, diverse, and efficient infrastructure is essential to provide solid supports for the large-scale deployment of AI.
If Tokens are becoming as the new "unit of measurement" in the AI era, then continuously reducing Token costs has become a core challenge that must be addressed for AI to achieve large-scale applications.
To address that, Yang Rui, Technical Director of Cloud & Core Network Product of ZTE, stated that the prosperity of AI applications and the reduction of Token costs are mutually reinforcing drivers of a virtuous "flywheel" cycle. The flourishing application ecosystem generates massive inference demands, which in turn compel continuous cost optimization. In turn the decline in Token costs further lowers the barriers to innovation, unlocks more use cases.
Centered on this trend, ZTE is committed to unleashing full-stack innovation through a flexible and open architecture, and achieving ultimate performance optimization via end-to-end system-level synergy. This further enhances inference efficiency and optimizes computing costs, delivering industry-leading intelligent computing infrastructure solutions, enabling every developer to embrace the infinite possibilities of the AI era at a more optimal Token cost.
From Standalone Computing to Systematic Engineering: Industrial Synergy as the Key to Infrastructure Evolution
As AI computing demands continue to surge, reducing Token costs is no longer just about optimizing a single chip or device. Instead, it has evolved into a systematic engineering effort that encompasses chips, software, clusters, networks, and service applications.
Guoliang Sun, Senior Vice President of MetaX, said, "Computing is far more than hardware. It's a systematic endeavor involving chips, software stacks, AI clusters, and industry applications. MetaX is committed to developing proprietary GPU architectures and the MXMACA software stack, connecting computing infrastructure with real-world business needs and advancing AI computing from availability to usability".
He also highlighted that MetaX has established a "1+6+X" ecosystem strategy to accelerate the adoption of AI computing across industries including finance, healthcare, energy, education & research, transportation, and digital entertainment, while exploring emerging frontiers such as embodied intelligence and the low-altitude economy. MetaX empowers industries with stable, reliable, and efficient computing infrastructure, unlocking new opportunities for the digital economy.
From GPU chips and software stacks to the overall architecture of AI infrastructure, the upstream and downstream players of the industry are forging closer collaborative ties. Tan, Lai Teng, Country Sales Manager of Intel Malaysia, mentioned that Intel powers the reshaping of AI infrastructure, serving as the all-round powerhouse for tomorrow-ready intelligent computing centers. Companies should choose optimized infrastructure for sustained AI evolution. Intel Xeon delivers significant benefits for Traditional AI, Generative AI, Agentic AI, and Frontier AI. Furthermore, Intel will partner with its ecosystem to co-create tomorrow-ready intelligent computing centers.
Convergence of Cloud, Data, and Local Computing: AI Core Capabilities Accelerate Industrial Adoption
As computing infrastructure continues to evolve, the industrialization of AI is further entering a phase of synergistic development across cloud, data, computing power, and models.
Jayson Li, Director of Apsara Stack Product Solutions of Alibaba Cloud Intelligence, attended the event and pointed out that demands for compute and tokens continue to grow in the AI era, while data and AI sovereignty are becoming long-term priorities for countries and industries worldwide. Through close collaboration, Alibaba Cloud Apsara Stack and ZTE are supporting two development tracks on a unified cloud foundation. On one track, they help customers turn GPU assets into sustainable businesses through compute, token and agent ecosystem operations. On the other, they enable continuously evolving Sovereign AI capabilities built on local data, local compute and local models—allowing AI to create business value while remaining rooted in and serving local markets.
If computing power, cloud, and data constitute the foundational infrastructure for AI development, then intelligent agents are emerging as a crucial gateway for AI to further integrate into enterprise production workflows.
Garry Sien, Chief Innovation and Solutions Officer, International Business of Ant Digital Technologies, shared his views on the next phase of enterprise AI. He stated that agent-driven business would take off in the next 6 to 12 months. AI is getting better fast - from chatting to searching, coding, and now actually getting things done. Enterprises don't want another AI tool, they want a system.
Ant DT's answer is the Agent Factory — its Agentar 2.0 platform ships with nearly 200 role-based digital expert templates and hundreds of subscribable skill modules, enabling businesses to assemble AI teams like a production line and put them to work on day one.
Meanwhile, the continuous evolution of AI capabilities is also accelerating the formation of regional innovation ecosystems. Dr. Sara Huang, COO of Hong Kong Generative AI Research and Development Centre (HKGAI), stated that as we enter the era of sovereign AI, HKGAI is committed to leveraging Hong Kong's unique strengths as both a "Super Connector" and a "Super Value‑adder". Drawing on its core product portfolio, including large models and AI agents, together with accumulated practical experience in smart government services, the Centre empowers enterprises to build digitally‑intelligent organisations. She added, "We look forward to deep collaboration with ZTE and our Malaysian partners to jointly foster an open, inclusive, and universally beneficial global AI ecosystem".
An Open Ecosystem Unites Industry Forces to Unleash AI's True Potential
From Token costs to computing architectures, from GPU chips and software stacks to cloud, data and local computing, and from intelligent agents to various industries, this conference has highlighted a clear trend: the AI industry is transitioning from isolated technological innovations to collaborative innovation across infrastructure, hardware and software, models, applications and ecosystems.
For the AI industry, computing efficiency determines how far AI applications can go, while an open ecosystem dictates the ultimate reach of AI's value. Only through open collaboration across the upstream and downstream value chain, and by continuously driving synergy among computing power, networks, cloud, models and applications, can we further lower the barriers to AI innovation and application, enabling AI capabilities to truly permeate more industries and service scenarios.
ZTE Global Intelligent Computing Ecosystem Congress, driven by technological innovation and connected through ecosystem collaboration, fully embraces the development vision of "Infinite Intelligence, Thriving Together". ZTE showcases its key technological achievements in intelligent computing and engaged in in-depth exchanges with global industry partners on intelligent computing infrastructure, AI models, and application ecosystems. This effort is accelerating the evolution of computing infrastructure from isolated capabilities to systemic synergy, and from technological supply to tangible industry value.
Looking ahead, ZTE will continue to build upon open and decoupled intelligent computing infrastructure, using ecosystem collaboration as a vital link. This will accelerate the integration of chips, computing power, networks, cloud, models and applications. Through continuous open cooperation and industrial collaboration, ZTE aims to further enhance AI infrastructure efficiency and reduce Token costs. Ultimately, ZTE will drive AI capabilities from the infrastructure level to various industries, enabling more enterprises to access AI at optimal costs, and jointly build an open, inclusive, accessible and sustainable intelligent ecosystem.
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2026-09-10
ZTE AIR Core Unleashes a New Era of Agent Services Beyond Connectivity
Shanghai, China, June 25, 2026 - ZTE Corporation (0763.HK / 000063.SZ), a global leading provider of integrated information and communication technology solutions, showcased at MWC Shanghai 2026 its AIR Core, designed for the era of AI agents. Building on deep expertise in core networks and AI, AIR Core drives a paradigm shift from traditional "connectivity pipes" to "intent-driven intelligent services". By integrating AI, computing, data, and security capabilities, it constructs an Agent Service Network (ASN) that spans across devices and ecosystems, comprehensively empowering diverse demands from individuals, smart homes, connected vehicles, and massive emerging AI agents.
Powered by AIR Core, key services are elevated across three dimensions:
Voice – AI New Calling: From "Basic Calling" to "Smart Services"
Introducing the AI Assistant Calling, users can summon personalized assistants on demand. With native multimodal interactions, complex tasks can be seamlessly closed-looped during calls. Furthermore, an AI-powered noise-cancellation micro-model eliminates 99.9% of ambient noise, ensuring pristine call clarity.
Bytes – Experience Monetization: From "Extensive" to "Precision"
By integrating NWDAF and AI-UPF, the network achieves precise service identification, real-time QoE assessment, and sub-second dynamic policy adjustments, making premium experiences perceptible and quantifiable. For high-value scenarios like high-speed railways, NWDAF leverages spatiotemporal large models to build real-time user profiles and deliver dedicated network guarantees, truly achieving personalized experiences at scale.
Token – New Business Model: From "Selling Connectivity" to "Selling AI Services"
To accommodate new AI traffic patterns (multimodal, bursty real-time, and symmetric uplink/downlink), the AI-UPF integrates large models for precise AI traffic identification and experience measurement. It establishes dedicated AI PDU sessions with differentiated QoS. Device-network collaboration drives computing power into the network and enables intelligent scheduling, supporting precise token metering and empowering low-latency computing offloading and real-time responses for edge AI applications.
AIR Core fundamentally breaks the boundaries of legacy networks, achieving three-dimensional upgrades in service scope, space, and content:
Service Scope: From "Humans" to "All AI agents"
Through ASN, service targets expand beyond humans and machines to include AI entities like home robots, digital humans, and virtual assistants. This provides efficient connectivity, trusted identity management, and integrated computing-network-intelligence empowerment for agentic communication.
Service Space: From "Terrestrial" to "Space-Air-Ground Integration"
With deep integration of Non-Terrestrial Networks (NTN), intelligent routing based on dynamic topology perception coordinates multi-orbit satellites and terrestrial networks. This provides highly reliable, ubiquitous connectivity for remote areas, maritime, aviation, and emergency scenarios.
Service Content: From "Single Traffic" to a "Traffic + Token + Data" Trinity
The AI-UPF evolves into a converged computing-network-intelligence gateway, ensuring precise AI service identification and on-demand resource scheduling. It also builds a Unified Data Plane (RTDS) for centralized data collection, storage, and analysis, supporting user profiling, experience monetization, and data value realization.
Marking a fundamental architectural leap from Cloud Native to AI Native, AIR Core lays the foundation for agentic communication in 5G-Advanced and 6G networks. Currently in pilot and early commercial deployment, ZTE AIR Core is partnering with global operators to accelerate their transformation from "connectivity providers" to "intelligent service enablers", jointly exploring new monetization pathways for the agentic era.
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2026-06-25
China Mobile and ZTE have completed the deployment of an AI Agent-driven personalized experience solution
ZTE Corporation in partnership with China Mobile Group Research Institute, has successfully implemented the AI Agent-driven 5G personalized experience solution — dubbed the “User-Centric Intelligent Network Service Solution” — at China Mobile Anhui, marking the official entry of China’s 5G/5G-A networks into a new era of “intent-driven, experience-first” intelligent services.
For a long time, consumers have been faced with static and standardized data plans, which are unable to meet the dynamic needs of high-value scenarios such as live streaming, cloud gaming, and remote office for low latency and large uplink. The innovative solution launched this time has completely changed this situation. Users do not need to understand complex parameters. They only need to enter natural language commands such as “I want stable live streaming” and “No lag during meetings” in the operator’s App. The underlying AI Agent can respond in seconds, automatically invoke network resources, and generate exclusive service strategies, realizing the deterministic connectivity experience previously only available to enterprise private networks.
Underpinning this innovation is an intelligent service system that deeply integrates AI with 5G core capabilities. The solution establishes a “Personalized Service AI Agent” as the central hub for user interaction, using natural language processing to understand user intent and leveraging NEF+MCP (Model Context Protocol) Server to seamlessly connect BSS/OSS (Business Supporting System/Operation Supporting System) systems with the 5G core network. The NWDAF (Network Data Analytics Function) performs big data analytics to create comprehensive profiles of users, services, and networks, enabling proactive prediction of congestion risks. Meanwhile, the intelligent User Plane Function (UPF) coupled with Smart DPI (Deep Package Inspection) precisely identifies traffic flows and enforces dynamic QoS policies tailored to “one network per user, one strategy per moment”, truly realizing the vision of “network proactively serving users”.
During the practical implementing by China Mobile Anhui, the solution demonstrated remarkable results in live streaming scenarios for internet-famous influencers: the average uplink rate of services increased significantly, the average latency was reduced by half, and the MOS (Mean Opinion Score) doubled, greatly enhancing the streaming fluency for content creators and the viewing experience for audiences. Even more exciting is its potential for commercial returns—in the short term, it can quickly improve existing users’ satisfaction and loyalty toward China Mobile’s 5G network while attracting high-value new users to choose China Mobile. In the medium to long term, by leveraging this solution to monetize the enhanced capabilities of 5G/5G-A networks, such as high bandwidth and low latency, the goal of promoting users’ digital consumption can be achieved. This is expected to drive a significant increase in ARPU, opening up a new growth curve for China Mobile.
Notably, the solution demonstrates exceptional compatibility and scalability. All intelligent capabilities are provided by the network side; no app installation or device modifications are required on user devices. Customers can interact seamlessly through their existing operator apps after upgrades. Built on a cloud-native and microservices architecture, the system supports horizontal scaling, allowing capacity to grow on demand. Moreover, by incrementally deploying AI Agent and leveraging 3GPP-standard interfaces, the solution enables smooth upgrades on existing networks, achieving “non-intrusive” integration and significantly shortening deployment cycles.
Industry experts point out that this solution represents not only a technological breakthrough but also a fundamental reshaping of service philosophy. It restructures the “atomic capabilities” of 5G networks into perceptible and invokable service units through AI Agents, pioneering a new business model of “Experience as a Service”. As 5G networks enter their return-on-investment phase, such innovative solutions—centered on user experience while delivering both cost optimization and revenue growth potential—will become key levers for operators to enhance competitiveness.
Looking ahead, as AI and communication networks converge further, a smarter, more agile, and personalized mobile internet ecosystem is rapidly emerging.
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2025-11-19
ZTE collaborates with Telkomsel to build an UE-transparent Hybrid Private Network
ZTE and Telkomsel have jointly launched a UE-transparent hybrid private network solution leveraging the public radio access network
This solution has been first deployed at Indonesia’s leading automotive manufacturing facility, setting a new benchmark for industrial digital transformation in Southeast Asia
Jakarta, Indonesia, November 20, 2025— ZTE Corporation (0763.HK / 000063.SZ), a global leading provider of information and communication technology solutions, Telkomsel, Indonesia's leading telecommunications service provider, today announced the launch of the world's first UE-transparent Hybrid Private Network solution based on a public wireless network in Karawang, West Java, Indonesia. This solution has been fully deployed at Indonesia's leading automotive production base. Revolutionizing traditional 5G private network deployment models, the innovative technology delivers industrial-grade connectivity characterized by cost-effectiveness, rapid deployment, superior performance, and enhanced security, establishing a new paradigm for digital transformation in the manufacturing sector.
As the mobile operator with the largest market share in Indonesia, Telkomsel is positioning enterprise private networks as one of its core future growth engines. However, the high cost and long delivery cycle of independent private networks, as well as the inadequacies of network slicing-based private networks in security and performance guarantee, have long restricted their large-scale replication in the manufacturing industry. As the leading automotive production base in Indonesia and a market leader in the region, it also faces pressing needs in flexible manufacturing, massive device connectivity, and critical operational stability.
The tripartite collaborative UE-transparent Hybrid Private Network solution is centered around the core principles of "loose-coupling overlay, intelligent perception, and ultimate efficiency". It achieves breakthroughs in the cost, security, and deployment efficiency bottlenecks of traditional 5G private networks, providing a standardized solution for the digital transformation of the manufacturing sector that can be rapidly replicated.
Resolving Private Network Pain Points: From "Independent Deployment" to "Intelligent Public Network Overlay"
To address challenges in spectrum cost, deployment cycles, service experience, and security isolation for 5G private networks, ZTE and Telkomsel have innovatively proposed an UE-transparent hybrid private network architecture. Leveraging an IMSI Range-based automatic network selection mechanism, the solution enables seamless switching and secure isolation between public and private network devices without requiring additional radio access infrastructure. This reduces deployment time from months to hours and cuts overall costs by over 50%. Meanwhile, smart DPI technology integrated with AI algorithms dynamically identifies service traffic. Combined with an on-demand QoS resource allocation mechanism, it ensures stable performance for critical applications such as industrial vision and AGVs, achieving SLAs of 99.99% or higher.
Indonesia's Leading Automotive Production Base Implementation: Significantly Enhancing Flexible Production Line Efficiency
At Indonesia's leading automotive production base in Karawang, West Java, Indonesia, the solution has been deployed alongside traditional Wi-Fi and wired networks to support high-speed connectivity and flexible reconfiguration of production line equipment, substantially reducing line adjustment time. Through its dynamic service assurance mechanism, the performance of the plant's operational systems has been greatly improved, leading to a notable increase in overall production efficiency and a significant rise in vehicle output.
Automotive production base stated that this network architecture lays a key technological foundation for flexible manufacturing and future factory upgrades.
Outstanding Results: Dual Success in Social and Economic Value
For Telkomsel, the UE-transparent Hybrid Private Network solution based on public wireless infrastructure offers multi-network convergence and smooth evolution capabilities, effectively protecting existing investments and reducing technology iteration risks. Meanwhile, leveraging a one-click delivery platform that requires "no planning, no configuration, and no maintenance", it significantly reduces reliance on specialized deployment and operational resources, ensuring strong scalability and replicability. Over few years, Telkomsel is expected to rapidly expand its reach to more large enterprise customers, making this solution a key growth driver for its enterprise business portfolio.
Future Vision: From Connectivity Tool to Industrial Intelligent Ecosystem
With the commercial deployment of this project, the UE-transparent Hybrid Private Network will become a key enabler for the digital transformation of the global manufacturing industry, injecting efficient, secure, and intelligent connectivity into diverse sectors.
ZTE stated that this practice not only provides a replicable 5G private network model for manufacturing in Indonesia and beyond but also highlights the innovative vitality of emerging markets in integrating communication technology with industrial digitalization. The next phase will focus on deepening the integration of AI and network technologies to advance private networks from a "connectivity tool" to an "industrial intelligent ecosystem".
This collaboration between ZTE and Telkomsel, represents not only a technical breakthrough but also a business model innovation. Moving forward, Telkomsel will leverage this UE-transparent Hybrid Private Network platform to integrate lightweight industrial AI models, evolving the network from "connectivity" to "intelligence" and building an "industrial collaborative brain" to achieve the ultimate goal of transitioning from "smart and simplified operations" to "unmanned operations".
Industry experts noted that the solution transforms 5G private networks from "customized projects" into "standardized services", significantly lowering the technical barrier and providing a scalable path for the digital advancement of global manufacturing.
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2025-11-17
ZTE Intelligent Computing Congress successfully concludes in Italy
Milan,Italy, October 10, 2025 —ZTE Corporation (0763.HK / 000063.SZ), a global leading provider ofintegrated information and communication technology solutions, successfullyconcluded its Intelligent Computing Congress in Milan, Italy on October 7, 2025. This major industry event broughttogether leaders from across the intelligent computing ecosystem, includingAMD, Turkcell, Red Hat, Fastweb&Vodafone, and Whale Cloud, to explore thefuture of AI integration and digital transformation.
The congress focused on buildingan open digital intelligence ecosystem and accelerating industrial cooperation.Discussions centered around full-stack, all-scenario intelligent computingsolutions and multi-form smart terminals under the concept of "AI forAll", with all participants committing to promoting the joint developmentof the global digital future.
Zhang Wanchun, Senior VicePresident of ZTE, opened the congress by emphasizing the company's commitment tofostering global collaboration in intelligent computing. His address underscoredthe importance of partnership. Looking ahead, he expressed ZTE's dedication toopen innovation and building a cooperative ecosystem, believing that sharedefforts and technological synergy will create a win-win future for all partnersin the intelligent computing landscape.
Yang Rui, Technical Director ofCloud & Core Network Product, ZTE, detailed the company's approach in herspeech titled "Intelligent Computing Ecosystem Landscape" at theevent, stating: "ZTE's strategy centers on 'Full-Stack IntelligentComputing' solution, offering a complete suite from hardware to softwareplatforms. ZTE uses AI internally to boost R&D efficiency and collaborateswith partners to deliver tailored end-to-end industry clouds, accelerating thecommercial deployment of AI across various industries by making it moreaccessible and practical for businesses."
The event demonstrated how partnerships and open platforms aredriving the evolution toward AI-native networks:
AMD: Piotr Weglicki, Global Telco Lead of AMD ServerBusiness Unit, said in his speech themed "AMD EPYC a Game Changer forTelco: Performance that Scales, Efficiency that Delivers": "Incollaboration with ZTE, AMD is helping to advance next-gen, AI-powered networksdesigned to support modern telco workloads, with a focus on flexibility,performance, and innovation."
Turkcell: Aycan Ramazan GÜNDÜZHEV,Principal Telco Cloud Planning at Turkcell, noted in his speech "Turkcell Future-ready Telco Infrastructure","As a premier telecom operator in Türkiye,Turkcell has been driving its transformation into a full-fledged digitalservice provider. Focusing on enhanced horizontal scalability and agile servicedelivery, Turkcell aims to maximize operational efficiency and serviceexcellence. To realize this vision, the company launched the Unified TelcoCloud platform — a future-ready virtualizationinfrastructure, developed together with ZTE/Netas. That platform already powersover 4,000 servers and supports more than 40 applications."
Red Hat: Federico Nebiolo, EMEA LeadArchitect of Telco Centre of Excellence (CoE) at Red Hat, delivered a speechthemed "Red Hat with ZTE: Telco Ecosystem and AI Opportunities". Thespeech explored how the collaboration between Red Hat and ZTE accelerates 5Gcore innovation and leverages artificial intelligence within the telco sector. Healso discussed the evolution from cloud-native to AI-native mobile networks andoutlined a pathway towards autonomous infrastructure and distributedintelligence.
Fastweb&Vodafone: MarioVolonterio, Head of Digital Networks and AI at Fastweb&Vodafone, said inhis speech themed "Autonomous Telco Fabric: Al for Resilience, Securityand Performance": "Autonomous fabrics powered by telco cloud deliver resilience,security, and performance across industries. From finance to healthcare,manufacturing, energy, and public cloud, Al enables mission-criticalreliability and efficiency. Partnerships between operators, vendors, andverticals accelerate innovation, shaping intelligent ecosystems for thefuture."
Ant Digital Technologies: ChenYishi, Global Managing Director of Ant Digital Technologies, delivered a speechnamed "How AI & Technologies Drive the Future of DigitalTransformation", showcasing their practices about AI and related latesttechnologies, sharing AI based IT infra with successful cases.
Whale Cloud: Sami MuhammadSalman, Director of Transformation & Strategy at Whale Cloud, closed theprogram with the keynote "AI – Powering the Next Wave of BusinessTransformation". He showcased how AI is reshaping telecoms andenterprise operating models globally, moving from pilots to scaled value. His talkaddressed practical challenges — data privacy, integrationcomplexity, and industry-specific constraints, and mapped them to concreteconcepts adopted featuring GenAI, intelligent agents,and enterprise-grade AI platforms. Through telecom-focused examples, hedetailed how AI integrates with BSS/OSS, elevates customerengagement, and streamlines operations, enabling faster time-to-value andsustained competitiveness. The session wrapped up with a clear roadmapto embed AI at the core of products and processes — unlocking efficiency today while innovating the telco businessmodel for the next decade of growth.
This congress served as apowerful testament to ZTE's dedication to open innovation. Moving forward, thecompany will continue to deepen its collaboration with industry partners tofoster a thriving, intelligent computing ecosystem, accelerating the deploymentof AI across global markets and driving sustainable business growth for theentire digital economy.
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2025-10-12
ZTE unveils Co-SightSuper Agent overseas to accelerate the joint construction of the global AIAgent ecosystem
Milan Italy,October 6, 2025 - ZTE Corporation (0763.HK / 000063.SZ), aglobal leading provider of integrated information and communication technologysolutions,held the Global Summit & UserCongress in Milan, Italy. At the congress, the Co-Sight Super Agent wasunveiled overseas for the first time. With the advantages of "full-stackopenness, ultra-efficient development, and a flourishing prosperity", ZTEprovided global developers and industry partners with efficient AI Agentcustomization capabilities to accelerate the intelligent upgrade of variousindustries.
As the core engine of ZTE's AIstrategy, the Co-Sight Super Agent, leveraging its deep technical expertise inconnectivity and computing, is committed to solving the bottlenecks of thecurrent AI Agent, including high customization, difficult compatibility, andlong implementation cycles.
The new paradigm of AI making AI
The Co-Sight Super Agentfactory uses the "modular component studio and visual assembly environment"architecture to achieve AI self-evolution. It provides abundant componentrepositories, allowing enterprise users to flexibly select components fromtool, knowledge, model, and industry template repositories based on scenariorequirements. It supports both drag-and-drop orchestration workflows and autonomoustask planning and orchestration, enabling users to easily build dedicated AIagent applications. It truly achieves the next-generation intelligentdevelopment model of "AI Making AI".
Building a smart base with industrial-level trustedcapabilities
The Co-Sight Super Agent has three core advantages:
· Autonomous learning enables the agent to independently create tools and learnfrom experience to achieve human-like self-evolution.
·Through a continuous feedback loop, the agent uses a trustworthinessevaluation system to optimize decision-making process, significantly reducingAI hallucinations, and greatly improving accuracy and reliability.
·It is the industry's first agent to feature an open-source, three-layerinteraction protocol, which standardizes Human-Computer interaction, Agent-to-Agentcommunication, and knowledge collaboration, effectively promoting the open andcoordinated development of the agent ecosystem.
Dual-wheel drive of outstanding performance andopen ecosystem
Multi-agent coordination is supported. The DAG mechanism is introduced tointelligently identify concurrent nodes of tasks and implement automaticparallel processing, significantly improving the execution efficiency ofagents. The agent provides open interface protocols and is compatible withthird-party tools and systems, breaking the data isolation between differentsystems and tools and facilitating the co-construction of the AI Agentecosystem.
Recently, the Co-Sight Super Agent wasranked first again in the GAIA authoritative benchmark test, indicating itsleading strength in the agent technology field. In the future, ZTE willcontinue to deepen its cooperation with global partners, promote AItechnological innovations to benefit industries, and help build a prosperous AIecosystem.
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2025-10-11
