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Insights from Mobile World Congress, MWC 2025
The telecom industry is transforming from manual, long-term procurement processes to an era where Network-as-Service (NaaS), interoperability, and automation enable instant transactions across the supply chain. Automation is key for the next generation of telecom.
MEF’s Chief Product Officer, Daniel Bar-Lev, recently had the opportunity to attend the Mobile World Congress (MWC) conference and network with many industry leaders.
Daniel reflected on the event and imagined a world where buyers and sellers in telecom can request and receive what they need—immediately.
Here are the two key initiatives that MEF showcased at MWC 2025:
NaaS Network APIs in Action
MEF highlighted its new NaaS Network APIs, which enable applications to adjust network performance in real-time. This advancement is key for edge-native applications like autonomous vehicles and AI-driven analytics, which require dynamic and adaptable network resources. In collaboration with GSMA, CAMARA, and partners Colt and Orange, MEF is driving the evolution of an AI-driven economy where network resources are allocated intelligently and on demand.
The live “Quality on Demand” (QoD) demonstration illustrated how Network APIs allow seamless interaction between mobile and fixed-line networks. Leveraging CAMARA APIs and MEF’s standards, network resources can be dynamically provisioned, improving the performance of critical applications in fields such as tele-robotics and AI.
In the MWC demonstration, Orange’s 5G QoD optimized mobile network performance, while Colt’s On-Demand NaaS platform ensured service quality across the core backbone network. This collaboration shows how the integration of NaaS and CAMARA APIs facilitates adaptive, real-time connectivity for diverse industries.
MEF’s initiative marks a leap in the evolution of network automation, moving from static management to dynamic, on-demand capabilities. By uniting industry leaders, this effort sets a new standard for scalable, Agentic AI-powered networks, paving the way for enhanced digital services and more efficient resource allocation in a rapidly evolving technological landscape.
GPUas-a-Service for AI at the Edge
Also, at MWC, MEF revealed a major milestone in its AI strategy, driving the evolution of AI-powered networks. MEF, in partnership with Infosys, NVIDIA, and IronYun, unveiled an exciting demonstration of GPU-as-a-Service (GPUaaS) for AI at the Edge, highlighting how service providers can tap into the growing demand for real-time AI inferencing by offering enterprises scalable, low-latency GPU resources at the network edge.
Infosys demonstrated an intuitive ordering process that integrates service provider capabilities with enterprise systems, making AI at the Edge more accessible and efficient. IronYun highlighted the power of GPUaaS in video analytics through its Vaidio AI Vision Platform, showcasing applications like intelligent traffic management and security. Together, they showcased a fully automated system where enterprises can seamlessly order and deploy a model to the GPUaaS at the edge on demand, using MEF’s standardized Lifecycle Service Orchestration (LSO) APIs.
MEF’s LSO APIs drive interoperability and automation across service providers, making it easier for enterprises to access high-performance GPU resources for AI inferencing at the Edge. Some of the key features of GPUaaS include on-demand GPU resources, allowing enterprises to leverage powerful GPUs without the need for significant upfront investments. The seamless ordering and deployment process is facilitated by MEF’s API framework, which automates the ordering, quoting, and activation of GPU resources from multiple providers. Additionally, the low-latency Edge computing enhances AI performance, enabling AI models to be deployed at the edge and supporting applications like real-time video analytics and intelligent traffic management for optimized results.
GPUaaS and Model as a Service is a significant leap forward, reducing AI processing latency and enabling a new monetization avenue for service providers. The initiative represents a new industry standard for delivering AI services, ensuring interoperability, automation, and optimized performance. MEF and its partners provided a hands-on look at how AI applications like intelligent traffic management benefit from Edge-powered GPUs, showcasing the future of AI-driven networks. They set the stage for a future where AI at the Edge is scalable, accessible, and commercially viable.
Learn More
- Read the related press release, MEF Unveils NaaS Network APIs for an AI-Driven Economy and Application-Led Connectivity.
- Also see the press release, MEF, Infosys, and IronYun Showcase NaaS GPU-as-a-Service for AI at the Edge Powered by NVIDIA.
- Get the MEF NaaS Industry Blueprint.
- Get the MEF NaaS Customer Experience White Paper.
- Meet Daniel Bar-Lev at MEF’s next Global NaaS Event
Amy Foschetti
PR Executive | MEF