We’ve funded a range of projects to guide our roadmap for the future

Federated Edge–HPC architectures for AI workflows in privacy-sensitive and real-time domains

This project explores the federation of Edge and High-Performance Computing (HPC) resources to support AI workflows in privacy-sensitive and real-time computation processing domains.

The project explores the feasibility of linking national HPC resources, such as Isambard AI, with edge infrastructures at Cardiff and Newcastle Universities. Its central aim is to build a community of stakeholders through workshops that identify application requirements, shape use case narratives, and guide a future roadmap for HPC–Edge federation. Complementing this, the project will trial and assess workflows for distributing AI workloads across heterogeneous environments, with a focus on data privacy, decentralised orchestration, and real-time decision support. A testbed exercise will further examine the opportunities and challenges of such a federation.