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.
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.
Discover how ONNX GO transforms computational graph orchestration with dynamic runtime execution, intuitive visual programming, and unmatched performance efficiency.
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.
YOLO v11, the latest advancement in computer vision models, is now available in our LabVIEW Deep Learning suite. YOLO v11 excels in tasks such as real-time object detection and image recognition.
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.
Reinforcement Learning is revolutionizing industries and research by enabling complex problem-solving through environment-based learning, as showcased in both real-world applications like SpaceX rockets and tools such as SOTA’s Deep Learning Toolkit for LabVIEW.
Discover the next generation of our AI solutions with the launch of our fully rebranded and enhanced unified toolkit, coming in October 2024.
Llama 3.1 Small language model is now available on our LabVIEW Deep Learning suite. Llama 3.1 excels in tasks like natural language understanding, sentiment analysis, and generating context-aware responses.
This video may seem simple, but it represents the culmination of over three years of intense development, creating a groundbreaking deep learning framework entirely in LabVIEW, capable of real-time performance without acceleration, with the ambition to revolutionize AI as CATIA did for the aerospace industry.
Florence-2 Visual language model is now available on our LabVIEW Deep Learning suite. Florence-2 excels in tasks like image captioning and object detection with a prompt-based architecture.
YOLO v8 OBB is now available in our LabVIEW Deep Learning suite. YOLO v8 OBB is specifically optimized for oriented bounding box detection.
vit-face-expression model is now available on our LabVIEW Deep Learning suite. vit-face-expression provides accurate and efficient facial emotion recognition, enhancing the capabilities of robotics, AI, and automation applications.
YOLO v10, the latest advancement in computer vision models, is now available in our LabVIEW Deep Learning suite. YOLO v10 excels in tasks such as real-time object detection and image recognition.
Integrating LLaMA 3 into LabVIEW revolutionizes robotics, AI, and automation by leveraging the advanced capabilities of Meta’s latest language model through the LabVIEW Deep Learning Module
We are thrilled to introduce SOTA, our next-generation suite of LabVIEW tools and toolkits designed to replace HAIBAL, TIGR, PERRINE, and GIM.
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...