One server. That's all Samsung and Orange need for high-capacity 5G networks now. Their expanded vRAN partnership, announced in February 2026, scales up pilots that have been running since 2023. The results? AI-powered Open RAN networks delivering quality of service that matches — or beats — traditional systems.
🔧 From Pilots to Production-Scale Open RAN Deployment
The corporate agreement announced February 25, 2026 expands vRAN and Open RAN sites across Europe. Those initial pilots that kicked off in 2023 weren't just lab experiments — they proved virtualized RAN works in the real world.
Open RAN Explained: An architecture that lets telecom operators mix equipment from different vendors, breaking the monopoly of traditional suppliers like Ericsson and Nokia.
Live network data from Orange shows improved QoS and better user experience. But here's the kicker: the new systems achieved operational maturity comparable to legacy solutions. That operational parity changes everything.
⚡ Intel Xeon 6: The Brain Behind AI-Powered vRAN
The heart of this new phase revolves around Samsung's AI-powered vRAN running Intel Xeon 6 system-on-chip. A single COTS server from Dell, running Wind River's cloud platform, handles high-capacity configurations that previously required multiple servers.
Technical Specs and Real-World Performance
The upgrade brings enhanced computing power that translates to smaller footprint, better performance, and reduced energy consumption. But the real magic happens with unused computing resources.
When the network isn't running at full capacity, excess computing power gets redirected to AI applications and edge computing workloads. This flexibility shifts how operators allocate their computing resources.
🌍 European Market Expansion Strategy
Orange ranks among Europe's top telecom operators. Their "Trust the Future" strategy for 2026-2030 puts AI integration at the center of everything.
Numbers That Count
With 310.9 million connections worldwide and 65.5 million connectable households for fiber, Orange has the scale to make a difference. The company's eCAPEX hit €6.208 billion, representing 15.4% of revenues.
The company expands 5G+ standalone in France and reaches 85% population coverage in Poland. But they're simultaneously abandoning legacy networks — a €1.676 billion provision was recorded for copper decommissioning through 2030.
«Moving forward to the next chapter of our collaboration with Orange demonstrates how Samsung's software-driven, open solutions are a proven, robust foundation that offer reliable network performance»
Angelo Jeongho Park, EVP Global Sales & Marketing, Samsung Networks
🧠 AI Applications and Edge Computing Integration
The real breakthrough comes from running AI workloads on the same hardware that manages the RAN. Traditionally, networks have dedicated equipment for specific functions.
Flexible Resource Management
Samsung and Orange exploit the fact that networks rarely operate at 100% capacity. While the vRAN handles connectivity, idle CPU cycles can run:
- AI-powered network optimization algorithms
- Real-time analytics for traffic prediction
- Edge computing applications for low latency
- Machine learning models for predictive maintenance
This resource sharing changes network economics. Instead of investing in separate AI infrastructure, operators maximize existing hardware utilization.
Single Server Architecture
Unified RAN and AI workloads on one COTS server with Intel Xeon 6
Enhanced QoS
Performance comparable to or better than traditional RAN solutions
Energy Efficiency
Reduced power consumption and smaller physical footprint
💼 Strategic Market Implications
The Samsung-Orange partnership extends beyond technology to reshape vendor relationships. Open RAN breaks the vendor lock-in that dominated telecom networks for decades.
What Changes for Operators
Traditionally, an operator choosing Ericsson for RAN had to stay within that company's ecosystem. Open RAN enables mix-and-match approaches — antennas from one manufacturer, baseband processing from another, and AI capabilities from a third.
Orange's pivot to AI-ready infrastructure sends a signal to the industry. The €1 billion in procurement savings they target through AI integration isn't pocket change.
Meanwhile, Samsung strengthens its position in 5G networks. The company already delivers end-to-end solutions to millions of users globally, and their AI-RAN products bring them one step closer to 6G.
🔮 Challenges and Future Developments
Behind the impressive presentations lie real challenges. Open RAN networks are more complex to manage than traditional ones. Interoperability between different vendors isn't always seamless.
Critical Questions
Will virtualized solutions hold up under extreme traffic conditions? How will operators manage the increased complexity? And most importantly — will operational benefits translate to lower prices for consumers?
Samsung invests heavily in 6G research and beyond, while Orange prepares for copper switch-off that will mark the end of an era. The convergence of these trends will determine the future of European telecommunications.
Bottom Line: If AI-powered Open RAN networks work as promised, they'll change not just how networks get built, but the economics of the entire industry. Orange and Samsung are testing this hypothesis under real conditions — and the results will impact the entire European market.
🎯 Frequently Asked Questions
What is vRAN and how does it differ from traditional RAN?
Virtualized RAN runs on software over standard servers, instead of specialized hardware. This enables greater flexibility, lower costs, and the ability to run parallel AI applications on the same hardware.
Why is Orange choosing Open RAN architecture?
Open RAN breaks vendor lock-in and allows Orange to select the best solutions from different manufacturers. It also reduces costs and enables faster innovation through competition among suppliers.
How does AI integration in networks affect consumers?
AI-powered networks offer better performance, more reliable connections, and potentially lower operational costs that can translate to better pricing. They also enable new low-latency services for applications like autonomous driving.
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