Inference Layer
Ultra-low latency AI inference at the 5G edge — purpose-built for real-time RAN intelligence, xApp execution, and autonomous network decision-making.
What It Does
AI Inference at Network Speed
The OranSense Inference Layer sits directly in the 5G data path, executing AI models with sub-2ms latency — fast enough to influence RAN scheduling, beam management, and slice control in real time.
Built on NVIDIA Triton Inference Server and optimised for edge GPU hardware, it supports TensorRT, ONNX, and PyTorch models with dynamic batching, model versioning, and zero-downtime hot-swap.
Capabilities
Built for the Edge
Sub-2ms Latency
Hardware-accelerated inference on edge GPUs with TensorRT optimisation — delivering decisions before the next scheduling interval.
Multi-Model Serving
Run hundreds of concurrent models across RAN, core, and edge functions with intelligent resource partitioning and priority queuing.
Hot-Swap Deployment
Update, roll back, or A/B test models in production with zero downtime — version-controlled and auditable.
Adaptive Batching
Dynamic micro-batching maximises GPU utilisation without sacrificing latency SLAs — automatically tuned per model profile.
Inference Guardrails
Confidence thresholds, drift detection, and fallback policies ensure safe autonomous decisions even under distribution shift.
Federated Inference
Distribute inference across a hierarchy of edge nodes with automatic routing to the nearest capable accelerator.
Architecture
Inference Pipeline
Model Registry
Deployed Models
Deploy AI at Network Speed
Bring sub-2ms inference to your 5G edge infrastructure with the OranSense Inference Layer.