Radian Arc
Radian Arc
For Telco Partners

GPU-as-a-Service

August 2026
02Purpose

Close the gap between
AI promise and AI reality.

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.

[05]ApplicationsCloud gaming, vision, enterprise AI[04]ModelsInference, tuned and served at the edge[03]InfrastructureLiquid-cooled halls, core to edge[02]ChipsNVIDIA, AMD, Groq, Qualcomm[01]Energy & Land8+ GW secured, sustainable by design
[2]
03The group today

The only group running GPUs at scale.
Revenue across the full AI stack.

One integrated group, ground to cloud and core to edge,
with assets and revenue across the UK, EU, US, India and the Middle East.

Land & Power8+ GW secured
Infrastructure & Compute500 MW liquid-cooled
Cloud & OperationsIn production today
Models & ApplicationsCore or edge
Partners, clients and investors
[3]
04Submer Group

End-to-end AI infrastructure.
From ground to cloud.

01
Radian Arc

Radian Arc

Real-world intelligence. GPU cloud and monetization, core to edge, inside operator networks.

02
Rubix

Rubix

Engineering the foundation AI runs on. Land, power and the route to live megawatts.

03
Submer Technologies · Products

Submer Technologies · Products

The thermal architecture of AI infrastructure. A decade of owned liquid cooling engineering.

04
Submer Technologies · Projects

Submer Technologies · Projects

Industrialized infrastructure at scale. Real deployments, not reference designs.

Four companies operating independently, collaborating through shared group intelligence. One accountable partnership, from raw land to live revenue.
[4]
05Overview

Your network. Your data centers.
Revalued, core to edge.

[5]
06The services

We run on what we sell.

InferX sells the capacity. RadianX streams games on it. Our apps run inference on it. Three engines, one job: your racks never sit idle.

[01]

InferX

  • A portfolio of hosting capacity
  • Delivery of GPUs as GPUaaS (GPU/hr)
  • NVIDIA Cloud Partner (NCP) orchestration software
[02]

RadianX

  • GPU infrastructure for cloud gaming
  • Game catalogue partners
  • User acquisition (acquiring gamers)
[03]

InferX App Ecosystem

  • Inferencing application marketplace
  • Outcome-focused inferencing across core, edge and frontier
[6]
07The problem

Three problems. One platform.

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.

AI (GPU) capacity

Problem: cannot source GPUs on time or on price

Rapid deployment of an integrated solution with market-aware GPU/hr cost.

Sovereignty

Problem: your customers buy their AI from someone else

GPUs inside your network make you the seller: in-country, under your control.

Outcomes

Problem: nobody buys megawatts, businesses buy outcomes

Raw power in, recurring revenue out. Every MW maximized.

KPIs
  • Simplified lifecycle management
  • Predictable performance
  • Deployment speed
  • Compliance
  • Zero-CAPEX option and low GPU/hr cost
  • Higher margin
  • Monetization engine
  • Secured revenue streams
[7]
08The deal

You bring the megawatts. We bring everything else.

Move up the stack: idle power, cooling and connectivity become a revenue line, on one contract.

You bring

Your infrastructure

  • Power, cooling and connectivity, 1MW to 1GW+
  • Energized, connected and ready
  • Today it earns nothing
We bring

The frontier compute

  • State-of-the-art GPUs, financed by us
  • Deployment, operations and telemetry
  • Workloads and a marketplace that fill the racks
You earn

The revenue

  • A share of revenue on capacity that sat idle
  • No hardware bill, no new team to hire
  • One contract, one counterparty
One signature

GPU, financing, marketplace: the hardware, the money and the demand arrive together. We carry the hardware risk; you keep your network.

[8]
09The scale

From the network edge to a gigawatt.

Same deal, every scale. Tell us what you have and we shape the deal around it.

Tier · Network edge

Edge POPs

  • AMD R9600D edge stack, AI-ready
  • Latency-critical apps, close to your users
  • Sovereign by design: data stays in-country
Tier · First deployment

Entry POPs

  • Funded by Radian Arc
  • Your team sells; we bring the marketplace
  • Start with one rack, grow on demand
Tier · Enterprise to gigawatt

1MW to 1GW

  • Financed and led by Radian Arc
  • Co-investment available
  • Joint sales to enterprise and government
  • Accelerator campuses for global platforms
[9]
10The platform

Federated core to edge.

Applications create demand. The control plane routes it. A federated network of operators hosts it. One stack, built to keep every hosted GPU earning.

AI applications and industry solutions.
Intelligent orchestration for the right outcome.
Optimized compute from core to edge.
Telcos and data centers globally.
Applications
GamingVision AIGenerative AIAnalyticsAgriculture
AI Control Plane
WorkloadModelLocationEconomicsCompliance
GPU Infrastructure
Core data centersRegional hubsEdge sites
Federated Network
90+ operator relationshipsData centers globally

The right workload · The right model · The right location · Every GPU earning.

[10]
11The AI control plane

Maximum intelligence per Watt.

Every request lands on the silicon where it performs best.

Customer intent
desired outcome
Use case and user goal
Performance target
Compliance and data residency
Cost target
AI control plane
real-time decision engine
Chooses the model: small or frontier
Chooses the location: core or edge
Optimizes the economics
Routes and orchestrates
Optimal outcome
delivered
Right GPU
Right location
Right model
Right cost
Right compliance
Real-time
routing

The plane reads each request's intent, then weighs cost, latency and data residency in real time, on every workload, every request.

[11]
12The AI workload play

Frontier brains. Edge prices.

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.

tiny model + edge GPU  =  frontier-grade outcome, a fraction of the cost
Vision AI Weather AI Generative video Engineering Game rendering Customer service
[12]
13Cloud gaming

Broadband’s #1 value prop. In your bundle.

Why cloud gaming leads every operator conversation.

The bundle
The catalog
The hardware
The players
The whole stack
Cloud gaming is the strongest value proposition in broadband. Subscribers switch for it, and stay for it.
1,000+ AAA and indie titles, refreshed every month. Every player finds a reason to stay.
Low-latency AMD GPUs stream console-grade play to every screen: mobile, TV and PC.
We acquire the users, and we fund the acquisition. Growth is our risk, not yours.
Catalog, hardware, marketing and know-how, under one roof. No one else holds all the pieces.
[13]
14Game rendering

A frame-perfect world.
At a self-hosted cost.

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.

The workloads…
Cinematic rendering Physics simulation Asset baking Batch jobs
Rendering now · Atlas FallenLive
48,600
frames/sec · self-hosted render
Render nodeFrames/sec
B300GPU compute18,240
RTX PRO 6000graphics12,380
OptiXpath tracing9,710
Houdinisimulation8,270
Price per rendered minute
Cloud render service
$0.90
Radian Arc self-hosted
$0.16
82% lower
per rendered minute, same output quality
Cloud render priced at public list rates, July 2026.
[14]
15Generative video

Studio-quality curriculum video.
At tiny-model prices.

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.

The self-hosted stack…
Mistral 7B FLUX.2 Chatterbox Turbo Wan 2.2 I2V Wan 2.2 T2V MuseTalk FFmpeg
Proto · Open lesson · Exodus 3 AI actor: moses_midian_exile
Proto lesson: Moses at the burning bush
Lesson 04 · generated on InferX edge 00:08
Price per minute of video
Static AI content · frontier APIs
$0.10-0.25
Static · self-hosted
$0.05-0.10
Animated AI video · frontier APIs
$3.00-15.00
Animated · self-hosted
$2.00-5.12
Up to 66% lower
per minute of finished video
[15]
16Engineering

What enterprise customers need.
At a fraction of their token bill.

One harness, many models: tasks route to the cheapest model that clears the bar. Frontier only when the job demands it.

Edge & real-time
Whisper · Phi-4 · Gemma 3
Voice, vision, low-latency tasks
Enterprise reasoning
Llama 3.3 70B · DeepSeek-R1-Distill · gpt-oss-120b
Core business AI
Sovereign / frontier
DeepSeek-R1 671B · Llama 4 Scout
High-capacity regional clusters

Worked example: 10 developers · 5 AI agents · 4.5B tokens per month

Platform
Deployment
$ per 1M tokens
NVIDIA DGX B300
Self-hosted
0.46
Supermicro HGX H200
Self-hosted
0.57
AMD V620
Self-hosted
0.88
NVIDIA L40S
Self-hosted
1.04
GPT-5
Frontier API
3.88
Gemini 2.5 Pro
Frontier API
3.88
Claude Sonnet 4.6
Frontier API
6.60
$2.1-4.7k
Self-hosted, monthly
$17.5-29.7k
Frontier, monthly
Up to 93%
Lower token spend

Frontier: published list rates, July 2026, blended 70/30 · Self-hosted: Radian Arc economics.

[16]
17Customer service

Every incident resolved.
Cheaper per ticket.

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.

One example · live

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.

70%
Resolved on first contact
<1hr
To go live on LINE
3+
Channels, one console
Tokenomics · per resolved incident
Frontier model
$0.11
InferX edge
$0.02
82% lower
per incident, at matched resolution quality
RResolvAI · Admin Portal DashboardAnalyticsChat Sim
Total conversations
2,346
Avg confidence
0.78
Escalation rate
9.2%
Active FAQs
2,424
Conversation volume · last 7 days
user_35jy · password reset resolvedconf 0.91
happitat · breakfast recommendationconf 0.87
user_8c2f · billing question resolvedconf 0.84
line_bot · store hours answeredconf 0.93
user_a114 · escalated to humanconf 0.52
[17]
18Vision AI

More cameras per GPU.
At a lower price.

A range of CCTV applications we are already engaged with, running tiny vision models on edge GPUs. The video never leaves your network.

Self-learning anomaly detection, spotlights unexpected threats.
Industrial video intelligence for safety and quality control.
Real-time face and biometric intelligence for access control.
Vehicle and mobility analytics from camera networks.
City-scale spatial AI for public safety.
InferX edge$0.000
Frontier API$0.000
Tokenomics · per CCTV feed, per month
Frontier model
$24
InferX edge · tiny model
$8
66% lower
per feed, at matched detection quality
Real-time alerts In-network video Sovereign by design
[18]
19Weather AI

See the storm.
Before the radar does.

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.

Hemisphere-wide multi-spectral imagery.
Volumetric reflectivity across MDC airspace.
Ground and space strike detection, live cells.
Sea-surface pressure and wave, sub-radar signals.
Supervised model trained on 6.3 TB.
Radar horizon+0.0 h
Warning lead+0.0 h
Tokenomics · training the storm model
Own the rig
Months
Radian Arc
2 days
0 CAPEX
4× L40S · 206 GPU-hours · delivered 2 days after data transfer
Pre-radar detection In-network training Sovereign by design
[19]
20The app ecosystem

Apps plug in. Revenue flows out.

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 aggregate

One marketplace

We qualify, package and manage the app vendors. You sign one deal, not fifty.

One integration

Single billing

Apps land on the bill your customers already pay. Revenue share settles behind the scenes.

Channel GTM

Your sales motion

Playbooks, collateral and joint calls: your enterprise team sells, we support every deal.

The economics

Shared upside

You host and sell, we run and settle: a share of every app sold on your racks.

[20]
21The proof

Commercial monetization engine, in motion.

Live deployments across telcos, data centers and GPU clusters: the same engine, already earning in market.

Telco · India

Cloud gaming at national scale

  • 250+ GPU servers deployed
  • Adding 60k subscribers daily
  • Expanding to inference for agriculture
Telco · Malaysia

National AI infrastructure

  • Started with cloud gaming, grew to national AI
  • COE for TM; building COE for the Malaysian government
  • Current pipeline of 40+MW in committed AI demand
Telco · Thailand

Cloud gaming and edge AI

  • 50 GPU servers deployed
  • Adding edge inference and Cloud PC
Data center · India

NVIDIA off-take data center

  • Deploying 2MW capacity in India
  • Sourcing and deploying applications for CCTV and agriculture
GPU clusters · Europe

GPU clusters across Europe

  • Built and shipped with Boston
  • Romania 1,024 · Turkey 2,400
  • UK 6,000 (super cluster) · Germany 300 NVIDIA GPUs
[21]
22The supply chain

GPUs to fill your megawatts, secured.

Boston

Boston
System integration & logistics
Turnkey rack assembly: staging, cabling, stress-testing.
Global logistics: cross-border delivery, door to rack.
On-site commissioning: white-glove deployment and SLA support.

Supermicro

Supermicro
Server OEM & MEC systems
Certified hardware backbone. Telco-grade muscle.
Co-engineered edge infrastructure: denser racks, more revenue per MW.
Strategic co-selling and joint go-to-market.

NVIDIA

NVIDIA
GPU access & silicon
NVIDIA Cloud Partner (NCP) status, validated reference architecture.
Certified, sovereign GPU capacity inside your network boundary.
Direct OEM allocations (weekly calls): priority tiering for high-demand silicon.

Radian Arc deploys the intelligence that monetizes all of this at the edge.

[22]
23The reference architecture

InferX. Built on standards.

Built with partners on industry-standard components.
Built for simplicity, scaling into the gigawatts, efficiency and predictable outcomes.
Every component validated, tested and developed on the reference design, for predictable outcomes and supportability.
NVIDIA's latest offerings throughout, with strict adherence to NVIDIA Cloud Partner (NCP) architecture.
NVIDIA B300Available now
NVIDIA GB300Q1 2027
NVIDIA Vera RubinQ3 2027
[23]
24The MW economics

Maximizing MW revenue.
Liquid cooled.

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.

More compute per MW: liquid-cooled racks run denser, so a megawatt buys more GPUs working for you.
Less energy on cooling: immersion and direct-liquid cooling cut cooling overhead versus air.
More revenue passed through: the density gain lands in your revenue per MW, not in our margin.
Built on Boston build quotes for the B300 reference architecture, air-cooled vs liquid-cooled.
Immersion-cooled rack · live
Same MW · two ways to cool it
Air-cooled
1.0x
Liquid-cooled
1.5x+
Higher revenue per MW
GPUs per MW · delta from Boston quotes
[24]
25The software stack

Sell every layer of the stack.

Bare metal, Kubernetes, GPU instances or tokens: four ways your market pays for the same racks.

Reference
Architecture
BMaaS
Managed or
customer K8s
GPUaaS
Instances
AIaaS
Tokens

Physical foundation

Flexible deployment models for edge, regional and distributed workloads.

Fleet operations

Lifecycle management, telemetry, deploy, provision, power, thermals and metering.

K8s

Managed Kubernetes and KubeVirt, or customer-managed via InferX FleetOps APIs.

Consumption layer

Tenant-isolated GPU instances, containers, VPCs, quota and usage controls.

SaaS applications

Turnkey inferencing, training and model serving.

[25]
26The next steps

Onboarding, megawatts
to money.


  1. Complete a site survey
  2. Register your MW and locations
  3. Close the capacity and app reseller agreementRevenue share · your capital stays put

Go live. Let your POP earn its keep.
[26]

Thank you. Kindly.

[27]