At Graiphic, we develop SOTA, an exclusive suite of tools and toolkits designed for LabVIEW to give you a winning edge in AI development. Among the top innovations today is the DeepSeek R1 model, known for delivering exceptional results. Developed by a leading AI startup, DeepSeek R1 leverages an impressive architecture with 671 billion parameters. Yet, thanks to a New approach called the “Mixture of Experts” (MoE), only 37 billion parameters are used during each inference, ensuring both performance and economy.
Achieve Top-Level Results
DeepSeek R1 has achieved near-record scores across multiple AI benchmarks. For example, in the MMLU (Massive Multitask Language Understanding), it scored 90.8, close to the 91.8 of OpenAI’s flagship model. In coding and math tasks, DeepSeek R1 provides rapid and accurate results, offering a key advantage for businesses and researchers aiming for a competitive win.
The Solution for Limited Resources: Distillation
Not everyone has access to large GPU clusters. That’s where DeepSeek-R1-Distill comes in—a model trained through distillation to deliver powerful capabilities with fewer resources. By using this process, smaller models can replicate the benefits of larger ones.
Here at Graiphic, we’ve tested DeepSeek-R1-Distill-Llama-8B-Q8_0 on a GPU RTX 3090. The gain? This quantized version uses just 24 GB of VRAM, making it possible for you to execute complex AI tasks efficiently, saving you time and cost.
Unlock Magic Through Quantization
With quantization (Q8_0), the model’s precision is optimized to require fewer resources while still producing winning results. This exclusive technology offers a balance between performance and scalability, ensuring you don’t sacrifice precision.
LabVIEW Integration with the GenAI Toolkit
Currently under development, the GenAI Toolkit by SOTA is designed to provide seamless integration with LabVIEW. Whether you manage data acquisition or control systems, this toolkit will support models in the GGUF format, offering you guaranteed compatibility with LabVIEW. It’s aimed at unlocking the full potential of AI without needing complex software migrations.
Why SOTA Brings You the Advantage
SOTA’s mission is to provide exclusive benefits through innovation. Our deep learning and vision toolkits guarantee scalable results, offering both cost-efficiency and an economy of time. With Graiphic’s solutions, you can take full control of your AI projects and stay ahead of the curve.
We always maintain a functional approach to deep learning models. The objective is to streamline the entire process—from importing and fine-tuning models to integrating them into software architectures and deploying them with ease. Instead of relying on traditional programming languages with complex syntax, we use LabVIEW as an abstraction engine, leveraging a graphical programming environment to simplify development.
With the advancements brought by SOTA, you can now execute any large language model (LLM) in the GGUF format, including DeepSeek R1, directly within LabVIEW. This new capability ensures that your AI projects benefit from cutting-edge technology, scalability, and seamless integration, giving you a decisive advantage in the rapidly evolving field of artificial intelligence.
