- ZTE introduced a solution that increases token efficiency and minimizes the cost per token through the deep synergy of various elements, including SuperPod, extremely cost-effective inference, and AIDC for ultimate energy efficiency.
- ZTE launches NewStart AIOS and positions it as the “technological foundation for the AI era”
- Focusing on AI-native features, ZTE has promoted the tight integration of AI and existing networks through architecture upgrades and key scenario innovations to build a next-generation communication network.
Shanghai, June 26, 2026 /PRNewswire/ — ZTE Corporation (0763.HK / 000063.SZ), a leading global provider of integrated information and communications technology solutionMWC Shanghai 2026 showcased cutting-edge breakthroughs in TCO-optimized AI factories, AIOS-powered ecosystems spanning scenario-based applications and innovative terminals, and AI-driven networks. Through extremely high synergies across compute, network, storage, energy, and software, and innovation in system-level architecture, ZTE has fully unleashed new momentum in token operations.
ZTE unveils full-stack AI capabilities at MWC Shanghai 2026, powering new era of token management
As AI agents become more prevalent, the focus of industry competition is shifting from scale of computing power to token efficiency. Leveraging end-to-end full-stack AI capabilities, ZTE has built a complete value chain across token production, service, and distribution, enabling carriers, enterprises, and industry partners to unlock the value of AI at scale.
Building a TCO-optimized AI factory for more efficient and cost-effective token production
Token efficiency is a core competitive advantage in this era of reasoning. TCO-optimized AI factories are the key to increasing token efficiency and achieving “token freedom.”
At MWC Shanghai 2026, ZTE showcased a solution that increases token efficiency and minimizes the cost per token through deep synergy of various elements, including SuperPod, extremely cost-effective inference, and AIDC for ultimate energy efficiency.
Building on 41 years of expertise in R&D and engineering of ultra-large and complex systems, ZTE launched the SuperPod solution. It leverages a multi-chip open collaboration design and innovative Orthogonal Electrical eXchange (OEX) architecture to enable plug-and-play deployment and rapid provisioning. With support for 128 GPUs in a single rack and high scalability up to 16,000 GPUs, it lays the foundation for efficient computing for model training and inference.
ZTE enables highly cost-effective inference through the synergy of not only hardware and software, but also network, storage, and compute. With non-blocking networking and global server load balancing (GSLB), ZTE’s solution enables efficient coordination across compute clusters spanning thousands to tens of thousands of GPUs, further increasing overall inference efficiency.
Additionally, ZTE has developed an AIDC solution for ultimate energy efficiency. It integrates an 800V HVDC power supply, full-stack liquid cooling, intelligent computing and power synergies to enable highly efficient and low-carbon operations.
From building computing clusters and optimizing inference efficiency to green operations, ZTE steers the AI factory from computing-centric to efficiency-oriented, providing a more cost-effective and sustainable token production system.
Developing an innovative AIOS technology foundation for smarter token scheduling and closed-loop services
AI Factory addresses the challenge of low-cost token production, and AIOS plays a key role in token scheduling, orchestration, and service-oriented output.
ZTE has launched NewStart AIOS, positioning it as the “technology foundation for the AI era.” Co-Claw, an enterprise-level agent platform built on AIOS, is fully integrated into ZTE terminals and extends AI services to the production floor and daily life.
for companyis focused on increasing office and R&D efficiency and enabling intelligent operations to enable self-evolving workflows and closed-loop decision-making.
for houseZTE has launched an innovative device with a variety of screen sizes that serves as an entry point to a fully connected smart home. They act as home AI assistants, AI entertainment companions, and AI security guardians, always on and always active for an intelligent lifestyle.
for individualthe company is introducing new AI-native paradigms across AI phones, AI cloud PCs, AI smart displays, FreeScreen, and more to enable personalized recommendations, contextual responses, and immersive interactions across travel, life, and work. AI knows better and provides fun smart experiences anytime, anywhere.
Leveraging its AIOS technology foundation, Co-Claw agent platform, and full lineup of AI devices, ZTE transforms tokens into schedulable, serviceable, and monetizable resources. This allows carriers and enterprises to develop a closed-loop model for token-based services.
AI + Network, co-building the future of intelligent and ubiquitous 6G connectivity
6G is more than a generational leap in connectivity. It also functions as an important infrastructure that enables efficient token distribution in the AI era.
As a key participant in global 6G research and standardization, ZTE is focusing on “AI+” and “SAGIN” and accelerating the evolution of 6G from research to commercial use.
For SAGIN, ZTE launched an industry-leading LEO satellite communication payload solution compatible with SAGIN’s diverse application scenarios for 5G-A and 6G, strengthening the critical connectivity foundation for a smooth evolution from 5G-A to 6G.
As for AI native communication, ZTE demonstrated its GigaMIMO solution and the world’s first 256 TR U6G prototype in the 6G zone of this event. Powered by 6G’s foundational technology, GigaMIMO, this solution leverages architectural innovations, computing synergies, and algorithmic breakthroughs to systematically overcome critical bottlenecks in future network capacity, coverage, and spectral efficiency, accelerating 6G deployment and industry evolution.
Focusing on AI-native features, ZTE has promoted the tight integration of AI and existing networks through architecture upgrades and key scenario innovations to build a next-generation communication network.
of air max The solution comprehensively upgrades the network architecture with AI at its core, delivering a three-tier functional system that includes AI-native infrastructure, autonomous operations, and a monetization engine. Together, these enable carriers to evolve capabilities, transform services, shift operations, and rebuild ecosystems for the AI era.
of ai high net The solution provides three key capabilities: AI-native, ultra-fast, lossless, and inherently secure, creating a solid network foundation for ubiquitous intelligent computing access, lossless wide-area connectivity, and the integration of compute, networking, security, and services.
of 10G AI optical network The solution is widely deployed across homes, campuses, small businesses, and other key scenarios to unlock greater value from all-optical cities.
Meanwhile, ZTE continues to advance key scenario applications through innovations such as new calls with AI assistants, “first-class” mobile network services, ISAC for low-altitude economies, and highly autonomous networks. These efforts are aimed at building a more intelligent, efficient, and reliable connectivity foundation for the AI era.
ZTE demonstrated its end-to-end functional system at MWC Shanghai 2026, from AI Factory to AIOS, agent platform and future network. The system covers token generation, scheduling, and distribution, and integrates computing, networks, terminals, and agents to accelerate AI from technological breakthroughs to large-scale deployments.
The AI industry is accelerating into the era of inference, and tokens have become a key measure of AI-driven value creation. Looking to the future, ZTE will continue to work with industry partners to build a more efficient, inclusive, and sustainable AI infrastructure and ecosystem. Together, we aim to bring AI to various industries and unlock new growth momentum in the AI era.
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