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Home»Web 3»SynaXG proves the art of the possible with fully software-defined AI-RAN on NVIDIA AI Aerial
Web 3

SynaXG proves the art of the possible with fully software-defined AI-RAN on NVIDIA AI Aerial

2026-03-02No Comments4 Mins Read
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BARCELONA, Spain and SINGAPORE, March 2, 2026 (GLOBE NEWSWIRE) — SynaXG today announced major technical breakthroughs in AI-native radio access networks, demonstrating the simultaneous operation of 5G FR1, 5G FR2 and AI workloads on the NVIDIA AI-RAN platform with real-time, policy-driven GPU orchestration. The results confirm that software-defined, AI-native RAN can deliver carrier-grade performance and continuous 24×7 operation, ready for commercial deployment.

SynaXG achieved carrier-grade 5G FR1 performance on a single NVIDIA GH200 platform. The system simultaneously served 20 x 100 MHz 5G NR cells and delivered more than 36 Gbps of aggregated throughput with sub-10 millisecond latency while supporting up to 1,200 connected user devices per cell. These results validate that a fully software-defined AI RAN running on accelerated computing infrastructure can match the performance of best-in-class commercial 5G deployments, while simultaneously running AI workloads on the same shared platform without compromising network KPIs.

SynaXG also achieved the world’s first carrier-grade FR2 virtualized RAN implementation that runs concurrently with FR1 and AI workloads on a shared GPU platform. The system delivered high throughput with an end-to-end latency of just 5 milliseconds, meeting the performance requirements for busy urban and enterprise deployments. This milestone shows that millimeter wave RAN can be achieved as a fully software-defined workload on an accelerated infrastructure, without compromising carrier-level KPIs.

SynaXG’s real-time orchestration software dynamically allocates and switches Multi-Instance GPU (MIG) partitions based on live RAN and AI core performance indicators. GPU resources are continuously rebalanced across FR1 for coverage, FR2 for capacity, and AI workloads without service disruption, enabling deterministic RAN performance and maximizing infrastructure utilization.

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The AI-RAN system operated continuously, 24 hours a day, 7 days a week, under sustained load, validating the stability, scalability and operational resiliency required for carrier environments. The results confirm that NVIDIA GPU-accelerated AI-RAN can maintain predictable performance while dynamically adapting to changing traffic conditions and workload demands.

SynaXG’s AI-RAN platform is built on the use of hardware and software stacks NVIDIA AI antenna platforms, enabling a software-defined, AI-native architecture that supports deterministic network performance alongside AI processing on a shared GPU infrastructure.

Looking ahead, SynaXG is expanding its AI-RAN platform to additional NVIDIA platforms, including NVIDIA DGX Sparkdemonstrating the portability of the software-defined architecture. Write this once, walk everywhere NVIDIA CUDA-based platforms accelerate innovation cycles and simplify implementation at a speed never before seen with traditional approaches.

At the same time, SynaXG continues to advance AI-for-RAN capabilities focused on network optimization and automation, spectral and energy efficiency, ISAC, distributed MIMO, ICIC, etc. SynaXG has been working with partners on AI agents that analyze real-time network conditions and service demand and take action to improve performance, energy efficiency and operational simplicity in AI-native networks.

“With recent industry-leading breakthroughs, SynaXG has demonstrated that AI-RAN can deliver carrier-grade FR1 and FR2 performance with continuous 24×7 operation on a shared NVIDIA AI infrastructure,” said Xin Huang, CEO of SynaXG. “Our software-defined approach enables operators and enterprises to deploy scalable, AI-native networks and be ready for commercial deployment.”

“Software-defined architecture is the key to the next generation of wireless networks. SynaXG’s benchmark 5G performance on the NVIDIA AI-RAN platform proves that operators and enterprises can achieve the flexibility and agility of cloud-native computing while maintaining carrier-grade throughput and performance per watt required for commercial 5G services,” said Soma Velayutham, VP AI and Telecom at NVIDIA.

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SynaXG will demonstrate these AI-RAN breakthroughs as part of the AI-RAN Alliance Working Group 2 demonstrations at AI-RAN Alliance Booth Hall 2, 2E45 and at the SynaXG booth in Hall 5, 5F21 Mobile World Congress 2026 in Barcelona.

About SynaXG

SynaXG is a Singapore-based technology company pioneering AI-native radio access networks (AI-RAN). The unified software platform integrates 5G RAN and AI capabilities on shared commercial hardware, enabling operators, hyperscalers and enterprises to deploy high-performance, energy-efficient and revenue-generating AI-driven networks. SynaXG works closely with global ecosystem partners across silicon, cloud, RAN and AI to accelerate the transition to 5G Advanced and 6G architectures.
For more information, visit http://www.synaxg.com

Watch the video accompanying this announcement at YouTube.
For additional context, see NVIDIA’s AI RAN on his company blog.

Media contact: media@synaxg.com

A video accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/e0e6c93a-fb23-4f53-9edb-f495916f1c41

About Web3Wire
Web3Wire – Information, news, press releases, events and research articles about Web3, Metaverse, Blockchain, Artificial Intelligence, Cryptocurrencies, Decentralized Finance, NFTs and Gaming.
Visit Web3Wire for Web3 News and Events, Block3Wire for the latter Blockchain news And Meta3Wire to stay informed Metaverse news.

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