Skip to content
Neos Networks Partners to Enhance UK Sovereign Edge Cloud Infrastructure

Neos Networks Partners to Enhance UK Sovereign Edge Cloud Infrastructure

First seen 9 May 2026, 00:07 UTC

Article Content

Browse articles
ThreatCluster AI
ThreatCluster May 10, 2026 at 00:07 UTC
  • Neos Networks, Cornerstone, and StonesThro are collaborating on a UK sovereign edge cloud.
  • The project aims to provide low-latency services for critical national infrastructure customers.
  • Neos' Project Reach will support the deployment of a core fibre network across the UK.

Neos Networks has partnered with Cornerstone and StonesThro to develop a UK sovereign edge cloud infrastructure. This initiative aims to provide low-latency, resilient services by distributing cloud and AI compute power closer to urban and industrial areas. The collaboration focuses on supporting critical national infrastructure (CNI) customers who handle sensitive data, offering an alternative to international cloud providers. The project builds on Neos' Project Reach, which aims to deploy a significant core fibre network across the UK. This distributed model is expected to enhance capabilities for sectors like autonomous vehicles and high-security software providers. The partnership aligns with the UK government's ambitions for AI and data center development. Neos Networks CEO Lee Myall emphasized the importance of their national footprint in supporting high-security projects.

Start a free Starter trial for enhanced analysis

Ask AI about this cluster

Updated 134d ago How this analysis works

Timeline

2025-01-01
Project Reach announced
Neos Networks revealed Project Reach, aimed at deploying a core fibre network across the UK.
Thefastmode
2026-05-07
Partnership announcement
Neos Networks, Cornerstone, and StonesThro announced their partnership to enhance UK sovereign edge cloud infrastructure.
Thefastmode
2026-05-08
Details on sovereign edge cloud released
The partnership aims to support critical national infrastructure with a distributed cloud model, enhancing local capabilities.
Computerweekly

More articles in this cluster (2)