We’ve published the Graiphic GO Whitepaper Series on GitHub: four documents that describe a unified, ONNX-native, LabVIEW-based approach to graph computing—bringing AI, logic, and hardware orchestration under one visual environment. SOTA is the foundation, already functional and ready for industry, research, and academia.
Generative AI
AI
AI Development
AI integration
AI Tools
Automation
Computer Vision
cuda
Deep Learning
Edge AI
Embedded Systems
Florence - 2
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
read more
Graiphic Launches NEST — The World’s First Self-Learning, Edge-Native AI for Energy-Efficient Buildings
NEST redefines building intelligence through self-learning AI that runs locally, privately, and efficiently — no cloud, no compromise.
LabVIEW Evolves into a Graph Editor: Introducing the LabVIEW Accelerator Toolkit
Discover how LabVIEW transforms into a versatile graph editor with ONNX Runtime orchestration, significantly accelerating computations and enhancing hardware optimization.
Graiphic Selected by ONNX Steering Committee to Present SOTA at Santa Clara
Graiphic will present SOTA, the first fully graphical orchestration framework for ONNX Runtime, at Intel’s headquarters during the ONNX Community Meetup 2025.
Graiphic at NI Connect 2025: Showcasing a Unified AI Ecosystem Built for Industry and Research
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.






