ZTE Showcases Full-Stack AI Capabilities at MWC Shanghai 2026

• 26 Jun 2026
• TM Team
• 0 Comments

ZTE Corporation, a global leading provider of integrated information and communication technology solutions, showcased the TCO-optimal AI factory, an AIOS-powered ecosystem spanning scenario-based applications and innovative terminals, and cutting-edge breakthroughs in AI-driven networks at MWC Shanghai 2026. Through the extreme synergy across computing, network, storage, energy, and software, as well as system-level architecture innovations, ZTE fully unlocked new momentum for token operations.

As AI agents become widespread, industry competition focus is shifting from computing power scale to token efficiency. Leveraging its end-to-end, full-stack AI capabilities, ZTE is forging a complete value chain spanning token production, services, and circulation—to enable operators, enterprises, and industry partners to unlock AI value at scale.

Token efficiency is the core competitiveness in this era of inference. TCO-optimal AI factories are the key to boosting token efficiency and achieving "token freedom".

At MWC Shanghai 2026, ZTE showcased solutions that enhanced token efficiency and minimized the cost-per-token through the deep synergy of various elements, including SuperPod, extremely cost-efficient inference, and AIDC with ultimate energy efficiency.

Building on 41 years of accumulated expertise in the R&D and engineering of ultra-large-scale, complex systems, ZTE has launched its SuperPod solution. Leveraging multi-chip open collaboration design and the innovative Orthogonal Electrical eXchange (OEX) architecture, it enables plug-and-play deployment and rapid provisioning. A single rack supports 128 GPUs, with high scalability up to 16,000 GPUs, laying a foundation for high-efficiency computing in model training and inference.

Through the synergy of network, storage, and computing, as well as hardware and software, ZTE achieves extremely cost-efficient inference. With non-blocking network and Global Server Load Balancing (GSLB), ZTE's solution enables efficient coordination across computing clusters ranging from thousands to tens of thousands of GPUs, further boosting overall inference efficiency.

Moreover, ZTE has developed its AIDC solution with ultimate energy efficiency, which integrates 800V HVDC power supply, full-stack liquid cooling, and intelligent computing-electricity synergy, enabling highly efficient and low carbon operations.

From computing cluster construction and inference efficiency optimization to green operations, ZTE is steering AI factories from being compute-centric to efficiency-driven, delivering a more cost-efficient and sustainable token production system.

The AI factory addresses the challenge of low-cost token production, while AIOS plays a critical role in token scheduling, orchestration, and service-oriented output.

ZTE has launched the NewStart AIOS and positioned it as the "technological foundation in the AI era". Built on AIOS, Co-Claw—an enterprise-level agent platform—is fully integrated into ZTE terminals, extending AI services to production and daily life.

For enterprises, the focus is on enhancing office and R&D efficiency and enabling intelligent operations, to achieve self-evolving workflows and closed-loop decision-making.

For homes, ZTE has launched innovative terminals with different screen sizes which serve as entry points to a fully connected smart home. They can be household AI assistant, AI entertainment companion, and AI security guardian—always on, always active for an intelligent lifestyle.

For individuals, the company has introduced a new AI-native paradigm spanning AI phones, AI cloud PCs, AI smart displays, FreeScreen and more, enabling personalized recommendations, contextual responses, and immersive interactions across travel, life, and work. AI knows better and delivers enjoyable smart experiences anytime, anywhere.

Leveraging the AIOS technological foundation, Co-Claw agent platform, and a full lineup of AI devices, ZTE transforms tokens into schedulable, serviceable, and monetizable resources. This allows operators and enterprises to develop a closed–loop model for token-based services.