NEST redefines building intelligence through self-learning AI that runs locally, privately, and efficiently — no cloud, no compromise.
Graiphic Launches NEST — The World’s First Self-Learning, Edge-Native AI for Energy-Efficient Buildings
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Energy Efficiency
AI
AI Development
AI integration
AI Tools
Artificial Intelligence
Automation
Computer Vision
cuda
Deep Learning
Edge AI
Embedded Systems
Energy Efficiency
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
Xilinx
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.
Energy Efficiency: The Strategic Choice for AI
As AI workloads surge, energy has become a first-class challenge. While Big Tech bets on nuclear-powered cloud datacenters, most industrial, medical, and embedded applications thrive on efficient local execution. At Graiphic, we focus on sovereignty through sobriety: SOTA and LabVIEW everywhere enable energy-aware AI that runs directly on existing hardware, reducing cost, latency, and power consumption.
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.