Introduction

Welcome on SOTA documentation base.

What is SOTA ?

SOTA (State-Of-The-Art) is a unified framework designed to extend LabVIEW with advanced AI and high-performance computing capabilities.

It provides a graph-oriented execution environment that connects LabVIEW with ONNX Runtime and multiple hardware accelerators such as CUDA, TensorRT, DirectML, OpenVINO and OneDNN.

SOTA enables engineers and researchers to:

• Design and deploy neural networks and complex data-processing graphs directly in LabVIEW.

• Execute models efficiently across CPUs, GPUs, NPUs, FPGAs or cloud environments, with automatic optimization for each target.

• Integrate AI seamlessly into existing LabVIEW applications, bridging traditional test-and-measurement workflows with modern machine learning and simulation tasks.

By relying on ONNX as an open standard and ONNX Runtime as its execution core, SOTA ensures full interoperability between LabVIEW and the entire AI ecosystem — from model training to deployment on embedded or industrial systems.

In short, SOTA turns LabVIEW into a high-performance, AI-ready platform, capable of orchestrating heterogeneous computing resources through a single, intuitive visual interface.