
Submer Group exists to close the gap between what AI promises and what it actually delivers.
One integrated group owning every layer, from the land and the power underneath to the applications that earn on top.
One integrated group, ground to cloud and core to edge,
with assets and revenue across the UK, EU, US, India and the Middle East.












Real-world intelligence. GPU cloud and monetization, core to edge, inside operator networks.
Engineering the foundation AI runs on. Land, power and the route to live megawatts.
The thermal architecture of AI infrastructure. A decade of owned liquid cooling engineering.
Industrialized infrastructure at scale. Real deployments, not reference designs.
InferX sells the capacity. RadianX streams games on it. Our apps run inference on it. Three engines, one job: your racks never sit idle.
The AI boom is here and it's running on someone else's cloud. Your megawatts are not earning their full potential.
Not even close.
Rapid deployment of an integrated solution with market-aware GPU/hr cost.
GPUs inside your network make you the seller: in-country, under your control.
Raw power in, recurring revenue out. Every MW maximized.
KPIsMove up the stack: idle power, cooling and connectivity become a revenue line, on one contract.
GPU, financing, marketplace: the hardware, the money and the demand arrive together. We carry the hardware risk; you keep your network.
Same deal, every scale. Tell us what you have and we shape the deal around it.
Applications create demand. The control plane routes it. A federated network of operators hosts it. One stack, built to keep every hosted GPU earning.
The right workload · The right model · The right location · Every GPU earning.
Every request lands on the silicon where it performs best.
The plane reads each request's intent, then weighs cost, latency and data residency in real time, on every workload, every request.
For the right workloads, a tiny model at the edge matches frontier-model quality.
Then it wins on price, every time. Six workloads, one equation.
Why cloud gaming leads every operator conversation.
Game studios render worlds, bake assets and run simulation on our GPUs.
A fraction of cloud-render cost at the same output quality.
Batch jobs fill the hours gamers sleep, so the racks earn around the clock.
Proto Education AI generates curriculum video on models hosted on our GPUs. Self-hosting the stack is a fraction of the price of frontier APIs, minute for minute.
One harness, many models: tasks route to the cheapest model that clears the bar. Frontier only when the job demands it.
Worked example: 10 developers · 5 AI agents · 4.5B tokens per month
Frontier: published list rates, July 2026, blended 70/30 · Self-hosted: Radian Arc economics.
Resolv, by Lumin8: a brand's FAQs become support agents on LINE, web and API. On edge GPUs, every incident costs a fraction of a frontier-model ticket. A product your enterprise team can sell as your own.
Retail chains run multilingual LINE support bots across Thailand, Japan and Taiwan, answering from the brand's own knowledge base. Live in under an hour, zero code.
A range of CCTV applications we are already engaged with, running tiny vision models on edge GPUs. The video never leaves your network.





The Meteorological Department of Curaçao guards Caribbean airspace where tropical storms form outside radar range. ALICIA, their AI model, learned to see storms first: trained in-network on our GPU cluster, delivered without a single dollar of hardware.
Every app in the marketplace lands inside your ecosystem the same way: one integration, one bill, one sales motion, and a share on every sale.
We qualify, package and manage the app vendors. You sign one deal, not fifty.
Apps land on the bill your customers already pay. Revenue share settles behind the scenes.
Playbooks, collateral and joint calls: your enterprise team sells, we support every deal.
You host and sell, we run and settle: a share of every app sold on your racks.
Live deployments across telcos, data centers and GPU clusters: the same engine, already earning in market.







Radian Arc deploys the intelligence that monetizes all of this at the edge.
Every watt spent on cooling is a watt not spent on compute. Liquid cooling puts more GPUs on the same megawatt, and the density lands on your revenue per MW.
Bare metal, Kubernetes, GPU instances or tokens: four ways your market pays for the same racks.
Flexible deployment models for edge, regional and distributed workloads.
Lifecycle management, telemetry, deploy, provision, power, thermals and metering.
Managed Kubernetes and KubeVirt, or customer-managed via InferX FleetOps APIs.
Tenant-isolated GPU instances, containers, VPCs, quota and usage controls.
Turnkey inferencing, training and model serving.