ALPANDIA
AI Infrastructure

Edge AI

ALPANDIA intelligence deployed directly on edge hardware — network appliances, CPE, or on-site servers — for sub-10ms inference without backhauling audio to the cloud.

Also known asedge AI voiceon-premise voice AIedge inferenceoffline voice AI

< 10ms

Inference Latency

CPU / GPU / NPU

Compute

ONNX / TensorRT

Model Format

ARM64, x86-64

Architectures

4GB

Min RAM

8GB model store

Storage

Capabilities

< 10ms Inference

On-device AI processing delivering sub-10ms latency regardless of WAN conditions.

Offline Operation

Full AI functionality with zero cloud dependency — keeps operating if WAN fails.

ONNX Runtime

Models exported to ONNX format for maximum hardware compatibility.

ARM + x86 Support

Runs on network appliances, Raspberry Pi, x86 servers, and ARM-based edge hardware.

Use Cases

Telco Edge Nodes

AI at the CO or cell site for ultra-low latency processing of regional traffic.

Air-Gapped Environments

Government and financial sites requiring AI with zero external connectivity.

Start Using Edge AI