CypressTel at MWC Shanghai 2026: Advancing AI-Native Compute-Network Infrastructure

MWC Shanghai 2026 concluded on June 26, bringing together global leaders across telecommunications, AI, and digital infrastructure. Under the theme “The IQ Era”, the event highlighted key developments in intelligent infrastructure, mobile AI, compute connectivity, and enterprise digital transformation. 

At Booth N4.C124, CypressTel presented its latest advancements as a Global AI Compute-Network Infrastructure Service Provider, marking a significant step in its evolution beyond traditional SD-WAN services. 

Strategic Direction: From SD-WAN to AI-Native Infrastructure 

As AI adoption accelerates, enterprises face growing challenges in latency, cross-border compute orchestration, multi-model integration, and operational complexity. These challenges are driving demand for integrated infrastructure that combines networking, compute, and AI orchestration. 

CypressTel’s approach focuses on unifying these capabilities into a single architecture that enables scalable, low-latency, and secure access to global compute resources. 

Its core architecture includes: 

• A global high-capacity backbone network designed for low-latency compute connectivity 

• An AI Gateway enabling unified access to multiple leading AI models with centralized management 

• Distributed GPU compute resources supporting AI training, inference, and simulation workloads 

This integrated model is designed to help enterprises deploy and scale AI applications more efficiently without heavy upfront infrastructure investment. 

Key Solutions Showcased 

CypressTel highlighted three core solutions addressing practical enterprise challenges: 

AI Model Gateway 

Provides unified access to over 50 leading AI models with centralized billing, seamless switching, and support for private deployment. This simplifies multi-model management while ensuring data security and compliance. 

AI-Optimized SD-WAN 

A high-bandwidth, low-latency network solution designed for AI workloads such as distributed training and real-time simulation. It enables stable cross-region connectivity with intelligent traffic optimization. 

GPU Compute Services 

Flexible, on-demand GPU resources supporting a range of AI use cases, including generative AI, real-time inference, and data-intensive workloads. The service integrates closely with CypressTel’s network layer to optimize performance and cost efficiency. 

Industry Engagement and Insights 

During the event, CypressTel engaged with telecom operators, cloud providers, AI companies, and enterprise customers across sectors including finance, manufacturing, and autonomous systems. 

Key observations from these discussions include: 

• Increasing demand for reliable cross-border AI infrastructure 

• Growing need for integrated compute and network solutions rather than standalone services 

• Strong interest in flexible, subscription-based models to reduce upfront investment 

These insights will inform CypressTel’s ongoing product development and ecosystem strategy. 

Emerging Industry Trends 

MWC Shanghai 2026 reinforced several key trends shaping the future of digital infrastructure: 

• AI-driven automation is becoming central to network operations 

• Convergence of compute and networking is accelerating across industries

• Consumption-based infrastructure models are gaining widespread adoption 

Next Steps 

Following MWC Shanghai, CypressTel will continue to expand its ecosystem through partnerships with cloud providers, AI platforms, data center operators, and telecom carriers. The company is also launching a global partner program to support broader market adoption. 

For more information or to request a demo, please contact the CypressTel team

Event Snapshot

Experience CypressTel at MWC Shanghai 2026. This short recap captures key moments from our booth, solution showcases, partner engagements, and live discussions throughout the event.

Watch the video to explore how we are advancing AI-native compute-network infrastructure.