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.
SOTA is Graiphic’s unified AI ecosystem for LabVIEW, covering deep learning, computer vision, generative AI and GPU acceleration. This guide explains how SOTA works and how to install the platform, its toolkits, drivers, add-ons and licenses.
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.
Graiphic is set to unveil SOTA, its cutting-edge AI framework designed for and with LabVIEW, during NI Connect 2025 in Fort Worth. A new era for AI + LabVIEW integration.
AI interoperability is key to smooth model transfer across frameworks like PyTorch, TensorFlow, and LabVIEW. Tools like SOTA’s FIG simplify integration, boost collaboration, and accelerate innovation in AI development.
Explore how Graiphic’s SOTA Toolkit enables seamless execution of large language models like DeepSeek R1 in LabVIEW. Learn about the benefits of model distillation, quantization, and integration for cutting-edge AI performance and scalability.
Graiphic has reached the final stage of the prestigious EIC Accelerator, showcasing our groundbreaking SOTA software suite. With a vision to lead in Deep Learning innovation, we are poised to become a key European tech champion.