A GPU alone does not guarantee a faster LabVIEW application. This technical guide explains how ONNX Runtime Execution Providers optimize and partition computation graphs, how GraphMX connects them to LabVIEW, and what Graiphic’s open GPU benchmarks reveal about full-graph execution, memory transfers, and local high-throughput processing.
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.
NEST redefines building intelligence through self-learning AI that runs locally, privately, and efficiently — no cloud, no compromise.
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.