Graiphic’s GO HW initiative transforms ONNX from a static file into a living graph that unifies AI, logic, and hardware orchestration. Learn how this roadmap reshapes edge computing, energy-aware AI, and open innovation.
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.
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.
SoC explained with clear metaphors and a practical map to ONNX Runtime EPs—then how GO HW unifies AI, control logic and I/O in a single graph deployable anywhere.
LabVIEW everywhere is no longer just a cockpit of gauges. With ONNX and its safety profile, it becomes a pilot — efficient on SoCs, fast in inference, and certifiable for aerospace and defense.
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.
Discover how ONNX GO transforms computational graph orchestration with dynamic runtime execution, intuitive visual programming, and unmatched performance efficiency.
Graiphic showcased SOTA, the first fully native ONNX-based deep learning framework, at the GLA Summit 2025, redefining visual AI orchestration within LabVIEW.
Graiphic showcased SOTA at the ONNX Annual Meetup 2025—a breakthrough visual AI and graph computing framework combining LabVIEW, ONNX, and ONNX Runtime. From deep learning orchestration to general computation graphs, SOTA pushes the boundaries of modern AI workflows.
Discover how SOTA is transforming LabVIEW into a powerful platform for modern deep learning at the GLA Summit 2025.
Discover how LabVIEW transforms into a versatile graph editor with ONNX Runtime orchestration, significantly accelerating computations and enhancing hardware optimization.
Graiphic will present SOTA, the first fully graphical orchestration framework for ONNX Runtime, at Intel’s headquarters during the ONNX Community Meetup 2025.
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.
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.
A world-first milestone: YOLO 11 is now trainable in LabVIEW with ONNX Runtime. No Ultralytics code. No Python. No AGPL. A new era of deep learning begins—for industry, science, and embedded systems.
Discover how Qwen 2.5 VL Instruct 7B, a cutting-edge multimodal AI model from Alibaba Cloud, is transforming open-source LLMs. Learn about its integration into LabVIEW using Graiphic’s GenAI Toolkit, enabling seamless deployment of GGUF-based models in industrial and scientific applications.
Discover how Qwen 2 VL Instruct 7B, a cutting-edge multimodal AI model from Alibaba Cloud, is transforming open-source LLMs. Learn about its integration into LabVIEW using Graiphic’s GenAI Toolkit, enabling seamless deployment of GGUF-based models in industrial and scientific applications.
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 unveils SOTA: a revolutionary AI ecosystem for LabVIEW and deep learning. Experience unmatched graphical tools, seamless integration, ONNX Runtime support, and powerful toolkits. Join the open beta and explore the future of AI innovation!
SOTA toolkits, powered by LabVIEW, revolutionize AI development by combining intuitive graphical programming with cutting-edge tools for annotation, training, optimization, and deployment. This unified approach simplifies workflows, reduces costs, and accelerates innovation, making AI accessible to engineers, researchers, and businesses alike.
Discover Annotator, the revolutionary all-in-one tool for AI development. From data annotation to YOLO model training and deployment, Annotator simplifies your workflow while integrating advanced ONNX Runtime capabilities. Transform your AI projects with ease and efficiency.
ONNX, ONNX Runtime, and SOTA form a powerful trio addressing AI workflow challenges. From seamless interoperability to flexible deployment and modular integration, transform your AI projects today.
We’ve submitted our full proposal to the EIC Accelerator to bring SOTA, our groundbreaking AI platform, to market. Deployment starts in late October, positioning Graiphic as a leader in European AI innovation.
A first version of the Cuda integration is now used on HAIBAL to allow you to get the best out of your NVIDIA graphics...
HAIBAL deep learning library for LabVIEW is still under devellopment. Our team worked last week on the integration of...
As we have recently decided to better communicate on the HAIBAL project by making a weekly status, I will start this...
The LabVIEW HAIBAL software library includes a complete basic development kit to seamlessly create accelerated deep...
BASIC NUMBER RECOGNITION EXEMPLE This example, implemented natively in the HAIBAL library, aims to understand how to...
RELEASE DATE As we have finished the functional part of the library and are starting to work on the optimization part...
A LITTLE HISTORY In 2016 Redmon, Divvala, Girschick and Farhadi revolutionized object detection with a paper...
By persevering, we can achieve anything. It’s hot but we are getting there. 8 months ago, PyTorch (Meta)...
A LITTLE HISTORY VGG is a convolutional neural network proposed by K. Simonyan and A. Zisserman from Oxford University...
All layer are now coded in native LabVIEW. First test of importe HDF5 from Keras Tensorflow and a graph generator...
After testing our first full connected neural network, we are now able to do our first 2D convolution in LabVIEW. Now...
Every journey has a beginning and let's bet that we will succeed in developing a complete deep learning library that...