LabVIEW doesn’t just let you write code, it lets you see it. As LabVIEW turns 40 and NI turns 50, this article revisits the power of graphical dataflow and explores why the AI shift makes visual, system level thinking more relevant than ever.
Robotics
AI
AI Development
AI integration
AI Tools
Artificial Intelligence
Automation
Computer Vision
cuda
Deep Learning
Edge AI
Embedded Systems
Generative AI
GPU Computation
graiphic
Graph Computing
graphical programming
HAIBAL
HAIBAL 2.0
HAIBAL Replacement
industrial AI
Intel
Keras
LabVIEW
LabVIEW Toolkits
Language Models
layers
Machine Learning
National Instruments
NI
ONNX
ONNX Runtime
PERRINE Replacement
PyTorch
reinforcement learning
release note
release notes
Robotics Module
SOTA
TensorFlow
TIGR
TIGR Replacement
Tool
Toolkit
VLM
Xilinx
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What If He Was Right? A Texas-Born Revolution for LabVIEW, AI, and Robotics
What if he was right? If Graiphic’s engineers see clearly, a modernized LabVIEW could become the universal, frugal, efficient cockpit for AI and robotics—awakening NI’s true potential and sparking a Texas-born revolution.
Chips are racing ahead but the real AI race is for the IDE
NVIDIA, AMD, Intel, Google, everyone is racing to build faster, more energy-efficient AI chips. But the true challenge is orchestration. French startup Graiphic unveils GO HW, a universal IDE to program any hardware through a single ONNX graph.
LabVIEW Everywhere: Deploy without the LabVIEW Runtime, powered by ONNX GO HW
Design in LabVIEW, deploy anywhere. With ONNX GO HW, a single ONNX graph runs AI, control logic, and physical I/O—no LabVIEW runtime on the device, maximum efficiency per watt.





