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Friday 9 October 2026

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Lumen and Eminence Grey partner to offer sovereign AI infrastructure in the US

The companies plan to pair private computing systems with programmable connectivity for government agencies, enterprises and AI developers running distributed workloads.

Lumen Technologies building facade and sign in downtown St. Paul, Minnesota
Photo: Tony Webster, CC BY 2.0, via Flickr (cropped)

Lumen Technologies formed a partnership with Eminence Grey on 8 October 2026 aimed at supplying sovereign AI infrastructure to US clients, MT Newswires reported.

Key points

  • The companies are targeting government agencies, enterprises and AI developers across the United States.
  • Eminence Grey is contributing computing systems and access tools; Lumen is providing programmable network connectivity.
  • Customers will be able to reserve pre-architected or custom-designed systems, with implementation shaped by their requirements.

Eminence Grey brings private AI systems

The proposed offering combines Eminence Grey’s private AI platform with Lumen’s edge footprint and programmable network. It is intended for government agencies, enterprises and AI developers connecting workloads at different sites while retaining control of their data and operating environments, Unite.AI reported.

Eminence Grey is contributing AI nodes, GPU and high-performance computing clusters, alongside its Whitehorse control plane and Outrider access appliances. Lumen’s part is the connectivity intended to link those environments. The companies describe the combination as dedicated, private AI infrastructure that customers can deploy across the United States.

Customers will be able to reserve systems built to an existing design or request a custom configuration. The companies say availability, configuration and implementation will depend on each customer’s requirements. Eminence Grey describes its own work as designing, building and operating private AI environments, rather than supplying computing capacity alone.

Whitehorse coordinates policy across locations

Eminence Grey describes Whitehorse as a proprietary, patent-pending control plane for coordinating its private AI infrastructure across locations. The company says Whitehorse is designed to combine facilities, networking, compute and security in one operating environment, with orchestration, segmentation, policy enforcement and workload-level visibility.

The companies say the combined system is designed to provide dedicated infrastructure, verifiable isolation and zero internet exposure throughout the data lifecycle. Those are objectives for the proposed system. Unite.AI reported that the announcement provided no deployment-specific security assessments or independent performance benchmarks.

Outrider is identified as an access appliance in the partnership. Eminence Grey’s described engagement process begins with assessment and architecture definition, then moves through pilots, expansion and optimisation. The sequence places a customer’s system design ahead of a wider deployment of its private AI environment.

Lumen supplies the network between AI sites

Jim Fowler, Lumen’s chief technology and product officer, said in the announcement: “Sovereign AI isn’t just about where data lives. It’s about how data moves.” Lumen’s assigned role in the partnership is to connect computing environments used for distributed workloads through its programmable network.

Lumen describes its Connectivity Fabric as offering a self-service portal and lifecycle automation for buying, deploying and remotely managing consumption-based network services. Its broader portfolio combines fibre infrastructure, edge cloud and connectivity services for applications spread across sites, according to Unite.AI.

Lumen also offers Wavelengths, Colocation, Dark Fiber and Enterprise Broadband as infrastructure services, MarketScreener reported. Its enterprise and wholesale portfolio includes edge services and Network-as-a-Service. In the Eminence Grey partnership, the companies say their network and computing systems are designed to support distributed GPU and high-performance computing workloads.

Sources

Topics: Enterprise adoption, Public sector, Sovereign AI