LabVIEW proved that graphical dataflow could power serious engineering systems. Graiphic Studio builds on that legacy while rethinking the architecture for readable source, Git, artificial intelligence and modular execution. Here are 10 major differences between the two approaches.
AI can now generate software faster than engineering teams can reasonably inspect it. FROG is Graiphic’s open graphical dataflow language, designed to combine machine-generatable structured source with visual inspection, explicit validation and modular industrial execution.
Graiphic showcased SOTA, the first fully native ONNX-based deep learning framework, at the GLA Summit 2025, redefining visual AI orchestration within LabVIEW.
Graiphic showcased SOTA at the ONNX Annual Meetup 2025—a breakthrough visual AI and graph computing framework combining LabVIEW, ONNX, and ONNX Runtime. From deep learning orchestration to general computation graphs, SOTA pushes the boundaries of modern AI workflows.
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.