The Dawn of AI-RAN: How Software-Defined Networks are Revolutionizing 5G and Paving the Way for 6G
Barcelona, Spain – The landscape of wireless communication is undergoing a dramatic shift, driven by the convergence of artificial intelligence (AI) and Radio Access Networks (RAN). Recent breakthroughs, showcased at Mobile World Congress 2026, demonstrate that software-defined, AI-native RANs are no longer a futuristic concept but a rapidly approaching reality. SynaXG, in collaboration with NVIDIA, has achieved significant milestones in this space, signaling a new era of performance, efficiency, and scalability for mobile networks.
Unlocking Unprecedented 5G Performance with NVIDIA AI-RAN
At the heart of this revolution is the NVIDIA AI-RAN platform. SynaXG’s latest demonstrations highlight the ability to concurrently operate 5G FR1, 5G FR2, and AI workloads on this platform, utilizing real-time, policy-driven GPU orchestration. This isn’t just about faster speeds. it’s about a fundamental change in how networks are built and managed.
Specifically, SynaXG achieved carrier-grade 5G FR1 performance on a single NVIDIA GH200 platform, operating 20 x 100MHz 5G NR cells and delivering over 36Gbps of aggregated throughput with sub-10 millisecond latency. This level of performance, supporting up to 1,200 connected devices per cell, rivals that of traditional, hardware-dependent 5G deployments. They’ve achieved the world’s first carrier-grade FR2 virtualized RAN implementation running alongside FR1 and AI workloads on a shared GPU platform.
Did you know? FR1 (sub-6 GHz) provides wider coverage, even as FR2 (millimeter wave) offers significantly higher bandwidth but shorter range. The ability to seamlessly manage both on a single platform is a game-changer.
The Power of Software-Defined Orchestration
The key to these advancements lies in software-defined orchestration. SynaXG’s software dynamically allocates and switches Multi-Instance GPU (MIG) partitions based on live RAN and AI key performance indicators. This means GPU resources are continuously rebalanced across different frequency bands (FR1, FR2) and AI workloads without interrupting service. The result is deterministic RAN performance and maximized infrastructure utilization.
This dynamic resource allocation is crucial for adapting to changing network conditions and workload demands. The AI-RAN system demonstrated continuous 24/7 operation under sustained load, proving its stability, scalability, and resilience – qualities essential for commercial deployment.
Beyond 5G: A Stepping Stone to 6G
The implications of these advancements extend far beyond simply improving 5G performance. The convergence towards a common, software-defined foundation is setting the stage for secure, open, and AI-native 6G systems. The “write once, run anywhere” approach, leveraging NVIDIA CUDA-based platforms like the DGX Spark, accelerates innovation and simplifies deployment.
SynaXG is already focusing on AI-for-RAN capabilities, including network optimization, automation, spectral and energy efficiency, and distributed MIMO. AI agents are being developed to analyze real-time network conditions and service demand, proactively enhancing performance and efficiency.
Industry Validation and Collaboration
The momentum behind AI-RAN is gaining traction across the industry. T-Mobile U.S. And SoftBank have also achieved implementation milestones with NVIDIA-powered AI-RAN, demonstrating concurrent AI and RAN processing in live field environments. Nokia’s vRAN software, integrated with NVIDIA AI-RAN platforms, is also playing a key role in these deployments.
“Software-defined architecture is key to the next generation of wireless networks,” stated Soma Velayutham, VP of AI and Telecoms at NVIDIA. “SynaXG’s benchmark 5G performance… proves that operators and enterprises can achieve the flexibility and agility of cloud-native computing while maintaining carrier-grade throughput.”
FAQ: AI-RAN and the Future of Wireless
Q: What is AI-RAN?
A: AI-RAN stands for Artificial Intelligence-Radio Access Network. It’s a new approach to building wireless networks that leverages AI and software-defined principles to improve performance, efficiency, and scalability.
Q: What are FR1 and FR2?
A: FR1 refers to the sub-6 GHz frequency band, offering wider coverage. FR2 refers to the millimeter wave frequency band, providing higher bandwidth but shorter range.
Q: What is NVIDIA’s role in AI-RAN?
A: NVIDIA provides the AI-RAN platform and GPU acceleration that powers the software-defined RAN, enabling high performance and efficient resource utilization.
Q: What are the benefits of a software-defined RAN?
A: Software-defined RANs offer greater flexibility, agility, and scalability compared to traditional hardware-based RANs. They also enable the integration of AI for network optimization and automation.
Pro Tip: Keep an eye on the AI-RAN Alliance for the latest developments and demonstrations in this rapidly evolving field.
SynaXG and partners will be showcasing these AI-RAN breakthroughs at Mobile World Congress 2026 in Barcelona, at the AI-RAN Alliance booth (Hall 2, 2E45) and the SynaXG booth (Hall 5, 5F21).
Learn more about SynaXG’s AI-RAN platform at www.synaxg.com.
