Graiphic

FROG is a fully open graphical dataflow language designed for secure, deterministic, and hardware-agnostic orchestration. With an open JSON expression, IR core, and multi-target compilers, FROG separates language, runtime, and IDE to create a true open foundation for graphical programming.

Graiphic Toolkits for LabVIEW provide advanced AI, GPU, and graph-oriented computing capabilities directly inside LabVIEW. Built on ONNX Runtime, they enable seamless integration of SOTA, Accelerator, and Deep Learning Toolkit for high-performance execution across CPUs, GPUs, and edge devices.

Collection of Graiphic whitepapers covering SOTA, GO HW, GO GenAI, and GO IML. Together they outline a unified, sovereign AI stack connecting models, logic, knowledge, and hardware.

It is the compatibility engine behind the SOTA LabVIEW Deep Learning Toolkit, ensuring that every ONNX operator behaves consistently across hardware targets. It validates each node against multiple execution providers to guarantee reliable and predictable AI deployment.

Sovereign AI for smart, self-learning buildings • Edge-native • 25–35 % energy savings

Benchmark suite comparing LabVIEW GPU toolkits (CuLab, G2CPU, Graiphic Accelerator). Includes methods, sources, results, and reproducible test pipelines.

This repository provides access to a complete LabVIEW training program available entirely in French, covering everything from fundamentals to advanced architectures. The full course is created and maintained by Technologies de France, the training division of the Graiphic Group