The AI-Native Engine of
Next-Generation RAN
SynaXG fuses NVIDIA's GPU and DPU compute fabric with open RAN architecture — delivering real-time AI inference at the network edge.
World's Most Advanced
AI Silicon Stack
SynaXG is built natively on NVIDIA's compute fabric — from the datacenter to the farthest network edge.
GH200 Grace Hopper
Superchip combining NVIDIA Grace CPU and Hopper GPU on NVLink-C2C — enabling highest-throughput AI workloads co-located with vRAN baseband processing in a single power-efficient package.
RTX Pro Series
Enterprise-grade GPU powering software-defined CU/DU virtualization. CUDA-accelerated PHY processing slashes operating costs while enabling flexible multi-vendor RAN deployments.
DGX Spark
Desktop-class AI supercomputer at the edge. DGX Spark brings data-center performance to enterprise premises — running real-time AI inference models for RAN optimization, anomaly detection and private 5G control.
AI at the Speed of Radio
Deploy NVIDIA DGX Spark nodes co-located with RAN equipment for sub-5 ms AI inference. SynaXG's platform continuously optimizes beam management, interference mitigation and resource scheduling using live neural network models — all without touching the cloud.
Virtualize the Radio Access Network
Run fully virtualized CU/DU stacks on CUDA-accelerated RTX Pro GPUs. SynaXG replaces proprietary ASIC hardware with software-defined baseband processing — enabling multi-vendor interop, elastic scaling and cloud-native lifecycle management.
Enterprise 5G, AI-First by Design
Turn any industrial site into a private 5G campus powered by SynaXG + NVIDIA GH200. From factory automation to smart ports, our turnkey stack delivers ultra-reliable low-latency communication fused with real-time AI analytics — on-premises, air-gapped or hybrid cloud.