ZTE Showcases Full-Stack AI Capabilities at MWC Shanghai 2026, Empowering New Era of Token Operations

2026-06-26 · Source: The AI Journal · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, medium

Summary

ZTE Corporation showcased its full-stack AI capabilities at MWC Shanghai 2026, emphasizing token efficiency and cost reduction across its offerings. The company introduced a TCO-optimal AI factory, featuring solutions like SuperPod, which supports up to 16,000 GPUs with an innovative Orthogonal Electrical eXchange (OEX) architecture, and AIDC for ultimate energy efficiency. ZTE also launched NewStart AIOS, an "AI era" technological foundation for intelligent token scheduling and closed-loop services, integrated with its Co-Claw enterprise-level agent platform and various AI-native devices for enterprises, homes, and individuals. Furthermore, ZTE demonstrated its "AI + Network" strategy, accelerating 6G evolution with solutions like GigaMIMO, AIR MAX, AI HI-NET, and 10G AI-Optical Network, aiming to build intelligent, ubiquitous connectivity and drive AI's large-scale deployment.

Key takeaway

For CTOs or AI Architects evaluating future infrastructure investments, recognize that token efficiency, not just raw compute power, is becoming the core competitive differentiator. Your strategy should prioritize solutions that minimize cost-per-token and enable intelligent token scheduling. Consider integrating full-stack AI capabilities, from optimized hardware like SuperPod to AIOS-driven service orchestration, to build a sustainable and cost-effective AI ecosystem.

Key insights

Token efficiency and cost-per-token are the new competitive focus in the AI inference era.

Principles

• AI value creation shifts from compute scale to token efficiency.
• System-level architecture innovation drives token operations.
• AI-native capabilities integrate deeply with existing networks.

Method

ZTE's TCO-optimal AI factory approach combines SuperPod for high-efficiency computing, network/storage/computing coordination for cost-efficient inference, and AIDC for energy-efficient operations.

In practice

• Deploy SuperPod for scalable, high-efficiency GPU computing.
• Implement AIOS for intelligent token scheduling and service orchestration.
• Integrate AI-native solutions into network architecture for 6G evolution.

Topics

• AI Infrastructure
• Token Efficiency
• MWC Shanghai 2026
• SuperPod
• NewStart AIOS
• 6G Networks
• AI-native Communications

Best for: VP of Engineering/Data, CTO, Director of AI/ML, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.