AI-RAN: Connecting AI Factories to the Physical World
Bringing AI and 5G RAN together on shared infrastructure at the edge.
The AI-Grid: bridging AI factories and physical AI
SynaXG's AI-RAN solution connects centralised AI compute with physical AI devices through the AI-Grid. Massive AI factories train models and run inference at scale, while robots, drones, cameras, and connected devices need real-time intelligence at the edge. The AI-Grid is the layer that brings 5G and AI together on a single, commercially ready platform.
What is AI-RAN?
AI-RAN refers to the full scope of AI integration across the RAN stack. Spanning centralised and distributed intelligence.
Our AI-RAN strategy combines intelligent networking with AI-native capabilities, enabling new use cases for consumer, enterprise, and public-sector deployments while maximising the return on infrastructure already in the ground.
Why AI-RAN?
The AI-Grid transforms what a mobile network can do, in two fundamental ways — making the network itself more intelligent, and turning it into the connective tissue for physical AI.
- AI for networks: improving performance, automation, and energy efficiency across the RAN.
- Networks for AI: delivering programmable, deterministic infrastructure to support emerging AI-driven services.
- Closed-loop intelligence: physical AI devices sense, decide, and act concurrently — requiring real-time, deterministic connectivity and high uplink capacity.
- Flexible architecture: combining intelligence at the radio sites with centralised data centres, supporting both purpose-built and Cloud AI deployments over Open RAN interfaces.
What's in it for you
Boost RAN performance and energy efficiency
Intelligent optimisation increases throughput and reduces energy consumption across the network.
Accelerate your automation journey
AI-native control simplifies operations and unlocks autonomous, intent-driven network management.
Maximise ROI on deployed infrastructure
Run AI and 5G on the same hardware, creating new monetisation from assets already in the ground.
Future-proof with an open platform
O-RAN compliant and commercially ready, built on NVIDIA AI Aerial™ and CUDA-X.
How the AI-Grid connects everything
AI Factory
Centralized compute
For training of LLMs and large-scale models
Non-real-time inference
Asynchronous workloads at data centre scale
Model orchestration & lifecycle
End-to-end management and versioning
Data aggregation
Centralised collection and pipelines
AI Grid
Physical AI
Closed-loop intelligence
Sense → decide → act, concurrently
Real-time connectivity
Deterministic, ultra-low latency
High uplink capacity
Sensor and vision data at volume
24/7 stability
Always-on operational requirements
AI-RAN on four hardware platforms
SynaXG runs across a range of NVIDIA GPU architectures from high-capacity data centre deployments to compact edge nodes. We provide operators the flexibility to match hardware to environment.
| Platform | Description | Best suited for |
|---|---|---|
NVIDIA GH200 High Capacity |
Ultra-high performance for large-scale AI workloads, ideal for dense urban deployments and high-throughput inference. | Dense urban, high-throughput inference |
NVIDIA DGX Spark™ Smaller Deployments |
Compact and power-efficient, designed for smaller-scale and edge deployments where footprint matters. | Edge deployments, low footprint |
Arc Pro Arm-Based |
Built for customers requiring Arm-based architecture on the NVIDIA Grace/Arm ecosystem. | Arm-native deployments |
RTX Pro x86 Compatible |
For customers with existing x86 infrastructure who want to add AI-RAN without replacing their server fleet. | Existing x86 infrastructure |
End-to-end Deployment
A commercially ready platform running FR1, FR2, and AI workloads concurrently on a single GPU server. Compute and connectivity become one system.
Software Stack — Concurrent Workloads
5G FR1
RAN Software Stack + AI Control
5G FR2
RAN Software Stack + AI Control
AI Workloads
Training + Inference, concurrent
NVIDIA AI Aerial™
Foundation software layer
Hardware Reference — Integrated Ecosystem
AI-RAN
NVIDIA GH200
High Capacity
DGX Spark
Smaller Deployments
Timing
GPS / PTP
Precision timing
Fronthaul Switch
eCPRI transport
Radio Units
O-RU
Open RAN compliant
DAS
Indoor coverage
Devices & use cases
Phones
5G-connected handsets requiring low-latency AI services.
Cameras
Edge vision for security and real-time scene analysis.
Robots
Autonomous robots needing deterministic 5G uplink.
Drones
Aerial platforms on real-time command and sensor loops.