https://github.com/graiphic/graiphic-documentation

Graiphic Toolkits for LabVIEW provide advanced AI, GPU, and graph-oriented computing capabilities directly inside LabVIEW. Built on ONNX Runtime, they enable seamless integration of SOTA, Accelerator, and Deep Learning Toolkit for high-performance execution across CPUs, GPUs, and edge devices.
https://github.com/graiphic/graiphic-documentation

accelerator-toolkit ai-orchestration computer-vision cuda deep-learning directml edge-ai graph-computing hardware-acceleration high-performance-computing inference labview neural-networks onednn onnx onnxruntime openvino sota tensorrt training

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Graiphic Toolkits for LabVIEW provide advanced AI, GPU, and graph-oriented computing capabilities directly inside LabVIEW. Built on ONNX Runtime, they enable seamless integration of SOTA, Accelerator, and Deep Learning Toolkit for high-performance execution across CPUs, GPUs, and edge devices.

• Host: GitHub
• URL: https://github.com/graiphic/graiphic-documentation
• Owner: Graiphic
• License: other
• Created: 2025-10-17T15:57:34.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2025-11-17T10:23:39.000Z (2 months ago)
• Last Synced: 2025-11-17T12:16:45.730Z (2 months ago)
• Topics: accelerator-toolkit, ai-orchestration, computer-vision, cuda, deep-learning, directml, edge-ai, graph-computing, hardware-acceleration, high-performance-computing, inference, labview, neural-networks, onednn, onnx, onnxruntime, openvino, sota, tensorrt, training
• Homepage: https://graiphic.io/documentation/introduction-sota/
• Size: 29 MB
• Stars: 1
• Watchers: 0
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Graiphic Toolkits Documentation

Welcome to the official documentation index for **Graiphic Toolkits for LabVIEW**.  

Below you will find direct access to the online documentation for **SOTA**, **Accelerator**, and **Deep Learning Toolkit**.

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SOTA – State Of The Art



**SOTA (State-Of-The-Art)** is the unified framework designed to extend **LabVIEW** with advanced **AI** and **high-performance computing** capabilities.  

It provides a **graph-oriented execution environment** that links LabVIEW with **ONNX Runtime** and multiple hardware accelerators such as CUDA, TensorRT, DirectML, OpenVINO, and OneDNN.

SOTA enables engineers and researchers to:

- Design and deploy neural networks or complex data pipelines directly inside LabVIEW  

- Execute models efficiently across CPUs, GPUs, NPUs, FPGAs, or cloud platforms  

- Integrate AI seamlessly into industrial and test-measurement systems  

**Documentation:**

- [Introduction to SOTA](https://graiphic.io/documentation/introduction-sota/)

- [Installation Guide](https://graiphic.io/documentation/sota-installation/)

- [Licensing](https://graiphic.io/documentation/licensing/)

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Accelerator Toolkit



The **LabVIEW Accelerator Toolkit** is the first ONNX-based computing framework for LabVIEW.  

It connects LabVIEW applications to the ONNX Runtime for hardware-accelerated data processing.

Main highlights:

- Built on **ONNX** and **ONNX Runtime**

- Supports **CPU**, **GPU**, and **DirectML** execution

- Enables high-performance AI graph deployment directly in LabVIEW

**Documentation:**

- [Installation Guide](https://graiphic.io/documentation/accelerator/quick-start/installation-guide)

- [Beginner’s Guide](https://graiphic.io/documentation/accelerator/quick-start/general/beginners-guide/)

- [Examples Guide](https://graiphic.io/documentation/accelerator/quick-start/general/examples-guide/)

- [Troubleshooting](https://graiphic.io/documentation/accelerator/quick-start/general/troubleshooting/)

- [Deployment](https://graiphic.io/documentation/accelerator/quick-start/general/deployment/)

- [Hardware Compatibility](https://graiphic.io/documentation/accelerator/quick-start/general/hardware-compatibility/)

- [FAQ](https://graiphic.io/documentation/accelerator/quick-start/general/faq/)

- [Introduction](https://graiphic.io/documentation/accelerator/quick-start/general/introduction/)

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Deep Learning Toolkit



The **LabVIEW Deep Learning Toolkit** provides native tools for neural-network creation, training, and inference inside LabVIEW.  

It is fully compatible with ONNX and shares the same execution backend as Accelerator.

Main features:

- Native **neural network design and training** inside LabVIEW  

- **ONNX Runtime** integration for multi-hardware deployment  

- Unified workflow with **SOTA** and **Accelerator**

**Documentation:**

- [Installation Guide](https://graiphic.io/documentation/deep-learning/)

- [Architecture Overview](https://graiphic.io/documentation/deep-learning/)

- [General Documentation](https://graiphic.io/documentation/introduction/)

- [Beginner’s Guide](https://graiphic.io/documentation/beginners-guide/)

- [Examples Guide](https://graiphic.io/documentation/examples-guide/)

- [Troubleshooting](https://graiphic.io/documentation/troubleshooting/)

- [Deployment](https://graiphic.io/documentation/deployment/)

- [FAQ](https://graiphic.io/documentation/faq/)

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© 2025 **Graiphic Technologies de France**  

[https://graiphic.io](https://graiphic.io)