Nokia logo
– Ben Wodecki/SDxCentral

Stelia AI teamed with Nokia to accelerate the deployment of high-performance, high-trust AI at enterprise scale.

The partnership will see Nokia’s networking technology integrated into Stelia’s full-stack AI platform to ensure data flows seamlessly and securely across distributed enterprise environments.

“As enterprises deploy AI across increasingly distributed environments, the network becomes a critical foundation for performance, security, and reliability,” Paul Alexander, VP of sales and a regional GM at Nokia noted. “Our collaboration with Stelia integrates Nokia’s open, high-performance networking technology with Stelia’s enterprise AI platform, helping organizations support demanding AI workloads while maintaining the trust, governance, and connectivity required for real-world operations.”

Stelia’s operating system is designed to act as the operational backbone for AI deployments. The company claims its OS presents a “more unified, operational” approach to enterprise AI, replacing disparate tools with a single full-stack system that allows companies complete governance over their AI applications and agents.

Its work with Nokia will see the Finnish firm’s high-performance networking provide Stelia users the secure connectivity needed between distributed siloes.

“Success is no longer defined by the size of a GPU cluster in the middle of nowhere,” Stelia CTO Dave Hughes added. “It is defined by the ability to safely and effectively orchestrate a workload through all stages of the AI lifecycle, and connect systems, people, and data across entire organizations – enabling continuous, high-throughput, low-latency data movement across distributed infrastructure.”

Founded in 2021 by network technologist Tobias Hooten, Stelia has gone on to work with firms like European data center firm Polar with Stelia's platform orchestrating resources across Polar's facilities.

Stelia also recently partnered with Earth observation company Aspia Space, with its applied AI platform underpinning the latter’s geospatial land intelligence data products.