Graiphic returns to GLA Summit with a 45-minute session showing how SOTA brings modern AI model execution directly into LabVIEW. Youssef Menjour will demonstrate ONNX, PyTorch and SafeTensors-based workflows, camera acquisition, computational graphs and CPU-to-GPU acceleration without moving the application’s center of gravity into Python.
A GPU alone does not guarantee a faster LabVIEW application. This technical guide explains how ONNX Runtime Execution Providers optimize and partition computation graphs, how GraphMX connects them to LabVIEW, and what Graiphic’s open GPU benchmarks reveal about full-graph execution, memory transfers, and local high-throughput processing.
2025 was a paradoxical year for Graiphic: financially difficult, yet extraordinarily innovative. From the launch of SOTA to the emergence of Graph Orchestration, deep learning, GenAI, and hardware ambitions, this article reflects on what was built and reveals Graiphic’s vision for making LabVIEW a true language for AI in 2026 and beyond.
Discover how LabVIEW transforms into a versatile graph editor with ONNX Runtime orchestration, significantly accelerating computations and enhancing hardware optimization.
Graiphic will present SOTA, the first fully graphical orchestration framework for ONNX Runtime, at Intel’s headquarters during the ONNX Community Meetup 2025.
Graiphic presented SOTA at NI Connect 2025 — a unified deep learning ecosystem built natively in LabVIEW, designed to simplify AI adoption in industrial and academic environments, powered by ONNX Runtime.