News & Insights

Energy Efficiency: The Strategic Choice for AI

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.

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Qwen 2.5 VL Instruct 7B now available on SOTA !

Qwen 2.5 VL Instruct 7B now available on SOTA !

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.

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The Power of Interoperability in AI

The Power of Interoperability in AI

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.

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LabVIEW and SOTA: Simplifying AI with Graphical Programming

LabVIEW and SOTA: Simplifying AI with Graphical Programming

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.

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Welcome Llama 3.1 on LabVIEW

Welcome Llama 3.1 on LabVIEW

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.

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Reinforcement learning on LabVIEW

Reinforcement learning on LabVIEW

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.

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VIT face expression on LabVIEW

VIT face expression on LabVIEW

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.

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TIGR1.3 release notes

Discover the latest functionalities including AutoAdjustContrast, Hue, Saturation, and more. Update your toolkit to enjoy these enhancements and refer to the documentation for detailed instructions.

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