SynaXG and Highway 9 Networks today announced a showcase of an enterprise-ready AI-RAN solution with NVIDIA AI Aerial.
At NVIDIA GTC this week, Jensen Huang made it clear: physical AI and robotics are becoming a major growth vector for AI.
You could see the same shift at Mobile World Congress a couple of weeks ago. Across eight halls, one theme kept appearing – robots, autonomous machines, physical AI.
For the past decade, most AI has lived in the cloud.
Train models in data centers.
Send data back for processing.
Run analytics after the fact.
But physical AI changes everything.
Robots, cameras, drones, and sensors generate massive amounts of real-time data.
Those systems need instant decisions, not round trips to the cloud.
That means AI has to run at the edge.
As Soma Velayutham, VP of Telecoms and AI at NVIDIA, put it:
“AI‑RAN is quickly becoming the blueprint for how telco operators and enterprises will build their next generation of networks. With NVIDIA AI Aerial at the core, SynaXG and Highway 9 are showing how a single GPU‑accelerated platform can deliver carrier‑grade 5G, on‑premises LLM inference, and secure edge AI services today — while creating a software‑defined foundation ready for 6G.”
This is the architecture we’re building toward, to dramatically simplify how enterprises deploy AI at the edge:
- Software‑defined edge platforms, running real‑time AI inference and apps
- Physical AI systems, mobile devices and users collaborating in real time
- Ultra‑reliable, secure wireless infrastructure connecting all of the above
All operating in a software‑defined model aligned with enterprise IT best practices, and orchestrated to ensure maximum autonomy.
Optionally extend the edge across MNO networks, or corporate WANs. Securely, of course.
Two use cases illustrate the shift.
Campus safety:
Outdoor surveillance over private cellular networks can now process video and audio feeds through AI inference engines at the edge — enabling gunshot detection, crowd analytics, license plate recognition, and location intelligence integrated directly into enterprise IT systems.
AI factories and warehouses:
Autonomous systems such as Automated Guided Carts (AGCs), Autonomous Mobile Robots (AMRs), and connected mobile devices running on ultra‑reliable wireless networks combined with edge inference platforms unlock powerful capabilities like defect detection, worker safety monitoring, and predictive maintenance.
Here is a link to the announcement we made earlier – https://highway9.com/press-release/synaxg-and-highway-9-networks-showcase-enterprise-ready-ai-ran-solution-with-nvidia-ai-aerial/
Wireless AI clouds at the edge will be critical to accelerating on‑premises AI adoption.
And we’re only at the beginning.