MEF, a global industry association accelerating enterprise digital transformation, has announced a cutting-edge demonstration of GPU-as-a-Service (GPUaaS) for AI at the Edge, utilizing MEF’s Lifecycle Service Orchestration (LSO) APIs.
In collaboration with Infosys, NVIDIA, and IronYun, MEF is showcasing this initiative at Mobile World Congress (MWC) 2025 in Barcelona, Spain. The demonstration highlights how service providers can monetize network infrastructure by offering enterprises scalable, real-time AI inferencing capabilities at the Edge.
The MWC showcase demonstrates a fully automated process for enterprises to obtain pricing and place orders for GPU resources at the Edge, leveraging MEF’s standardized LSO APIs.
Infosys presents a seamless ordering process that integrates service provider capabilities with enterprise systems, enabling AI models to function effectively at the Edge. IronYun showcases security, safety, and operational applications of the Vaidio AI Vision Platform running on GPUs at the Edge. This initiative marks a significant milestone in MEF’s AI strategy, driving the evolution of AI-powered networks.
The demand for AI-driven applications requires powerful GPU resources close to data sources. Traditional cloud-based AI processing introduces latency, making Edge computing essential. MEF’s Edge Compute Infrastructure-as-a-Service (IaaS) standard enables Cloud Service Providers and Subscribers to compare offerings using a common framework. The latest iteration expands its scope to include GPUaaS, standardizing the ability for service providers to deliver AI at the Edge with reduced latency while unlocking new revenue opportunities.
“This initiative is a major leap forward in AI at the provider edge,” said Pascal Menezes, CTO of MEF. “By enabling service providers to offer GPU-as-a-Service, we are empowering enterprises to run AI inferencing at the Edge with greater scalability and efficiency. With this announcement, MEF, Infosys, NVIDIA, and IronYun are setting a new benchmark for AI services, paving the way for a future where AI at the Edge is seamlessly accessible, scalable, and monetizable.”
MEF’s LSO APIs ensure interoperability and automation across service providers. Key features of GPUaaS include:
- On-Demand GPU Resources – Enterprises can access high-performance GPUs at the Edge for AI inferencing without heavy upfront investments.
- Seamless Ordering & Deployment – MEF’s API framework enables automated ordering, quoting, and activation of GPU resources across multiple providers.
- Optimized AI Performance – Low-latency Edge computing enhances AI-driven applications, such as real-time video analytics and intelligent traffic management.
Attendees at MWC 2025 can experience GPUaaS in action at the Infosys booth, Hall 2, Stand #2E43. The demonstration showcases real-world AI applications, where Edge GPUs are provisioned via standardized APIs to power computer vision models for intelligent traffic management. This hands-on showcase highlights the business and technical advantages of AI at the network Edge.
Balakrishna D. R. (Bali), Executive VP, Global Services Head, AI and Industry Verticals, Infosys
Unlocking AI at the Edge is crucial for enterprises to fully tap into AI’s potential. By integrating GPU-as-a-Service, Infosys empowers enterprises to run AI inferencing with lower latency and greater efficiency. Our solutions, built on advanced GPU resources and powered by Infosys Topaz and Infosys Cobalt, deliver scalable, high-performance AI at the Edge. Through our collaboration with MEF to standardize GPU-as-a-Service, we’re setting a new industry benchmark, enabling enterprises to harness AI for real-world impact.
Marshall Tyler, CEO, IronYun
At IronYun, we’ve redefined what’s possible in video analytics by embedding intelligence into every layer of the Vaidio platform, delivering unmatched accuracy, scalability, and compute efficiency. We truly appreciate the opportunity to partner with MEF to showcase our advanced vision AI through this groundbreaking GPU-as-a-Service initiative. By combining deployment flexibility with real-time inferencing power at the Edge, Vaidio empowers providers to monetize their networks and enables enterprises in all sectors to unlock new levels of security and operational efficiency.
