Radian Arc Strengthens Submerâs Telco AI Infrastructure

Submer, an AI infrastructure provider, announces it will acquire Radian Arc Operations Pty Ltd.
The move enables Submer to offer a full-stack AI infrastructure spanning core data centres to edge compute.
Radian Arc runs an infrastructure-as-a-service (IaaS) platform providing sovereign GPU cloud services for telecom networks.
By acquiring Radian Arc, Submer can extend its reach to GPU-heavy workloads needed by telcos and enterprises.
The acquisition will strengthen Submer’s cloud offering and expand its footprint across North America, Europe, the UK, India, the Middle East and APAC.
Radian Arc is already deployed with over 70 telecom and edge compute customers worldwide, operating many GPUs in production.
Integrating AI and edge compute in telecom networks
Telecom operators use Radian Arcâs platform to run high-performance, low-latency workloads such as AI analytics and cloud gaming.
Low latency ensures minimal delay between data input and system response, crucial for real-time AI operations.
The platform embeds AI infrastructure that provides data sovereignty, meaning sensitive data is processed locally within the country of origin, inside telco systems and billing networks. Data sovereignty is critical for compliance with regional regulations and privacy laws.
Patrick Smets, CEO at Submer, says: âThis acquisition of Radian Arc completes our full-stack cloud infrastructure.
âBringing Radian Arc together with InferX, our AI operations and delivery platform, forms a dual-plane, sovereign, telco-focused cloud offering that is highly competitive in todayâs AI data centre market.â
Dual-plane refers to the combination of core and edge computing layers. The core layer handles centralised data centre operations while the edge layer processes data near end users, enabling efficient, low-latency AI workloads.
Building the AI cloud of the future
Through the acquisition, Submer gains a diversified customer base and real-world, monetisable use cases.
The company is building AI factories, linking centralised data centres with edge nodes to deliver a complete AI cloud solution.
David Cook, CEO at Radian Arc, says: âWe have built our platform in close cooperation with our customers and partners, allowing us to develop a powerful model that demonstrably works at scale.
âBy joining Submerâs established partner ecosystem, we are now in a position to accelerate delivery of sovereign AI infrastructure faster and with lower latency to telecoms operators worldwide.â
Patrick Smets adds: âBuilt on ten years of liquid cooling leadership, Submer has evolved into a full-stack AI data centre provider, fully accountable from chip to operation.
âJoining forces with the Radian Arc team and their edge compute platform is an exciting next step, further strengthening our position as the single accountable partner for end-to-end AI infrastructure.â
- Access to significant land and power pipelines âsurpassing 5GW across the UK, US, India and the Middle East through partner consortiums, facilitating the swift rollout of next-generation AI infrastructure.
- A complete AI cloud business unit â integrating InferX (NCP) with Radian Arcâs sovereign, telco-grade edge cloud capabilities and AI inference platforms, unlocking scalable and monetisable AI workloads via partner-driven ecosystems..
- End-to-end design and build capabilities â providing turnkey, modular AI data centres and enabling large-scale enterprise and hyperscale deployments across Europe and the US.
- Deep IT and liquid cooling expertise â covering in-house system design, installation, advanced liquid cooling and integrated AI compute platforms with networking and storage, delivered either directly or via strategic partners.
Liquid cooling uses fluids to remove heat from hardware, supporting high-performance GPUs in dense data centres.
Submer now combines its NVIDIA Cloud Partner InferX platform with Radian Arcâs carrier-embedded edge compute, offering telecom operators a full-stack, sovereign, low-latency AI infrastructure solution from core to edge.


