The highly anticipated release of SOTA is here!

By Youssef MENJOUR , Graiphic CTO

raiphic is proud to announce the launch of SOTA, a revolution in the world of deep learning and LabVIEW. Following a closed beta testing phase during which over 50 versions of SOTA were developed and refined, we now believe the product is stable enough to enter an open beta testing phase. This ecosystem of tools and toolkits radically transforms how users design, integrate, and deploy their AI projects, offering groundbreaking technical innovations and an unparalleled user experience.

An Unprecedented Graphical Experience in LabVIEW

With SOTA, Graiphic redefines the graphical standards of LabVIEW. Every tool and toolkit in the suite is designed to provide exceptional clarity and ergonomics, enabling users to work with deep learning models with a level of fluidity never before seen in this ecosystem.

A Unified and Integrated System

SOTA introduces a unique level of integration. Upon installation, users gain one-click access to:

  • Complete tools and toolkits.
  • Pre-configured examples leveraging these toolkits.
  • Advanced reinforcement learning environments.
  • Ready-to-use deep learning models.

This is powered by our exclusive Bridge Dependency technology, which monitors missing components and allows for instant installation, streamlining dependency management to the maximum.

A New Generation with ONNX Runtime

SOTA marks a major milestone with the integration of ONNX Runtime, an open-source standard for executing AI models across all hardware platforms. But we don’t stop there: Graiphic actively contributes to its development, particularly advancing the training capabilities. This involvement allows our users to benefit from the latest technological advancements while supporting the AI community.

Fully Simplified License Management

SOTA offers an autonomous licensing system, entirely managed via our servers. This enables users to intuitively and efficiently create, access, and manage their accounts, ensuring optimal security.

Technical Innovations at Every Level

Every tool and toolkit within SOTA introduces significant technical advancements, delivering a more performant and scalable development experience. From multi-dimensional model support to GPU computing optimization, SOTA is designed to meet the needs of the most demanding users.

What’s Available for This Beta Release

For this beta release, here’s what we are offering as a starting point:

Available Toolkits:

Deep Learning Toolkit for LabVIEW: A comprehensive framework designed to streamline deep learning projects by enabling users to load, edit, train, and deploy neural networks directly within LabVIEW.

Computer Vision Toolkit for LabVIEW: Provides powerful tools for handling visual data, including real-time image processing, object detection, and automated inspection.

Accelerator Toolkit for LabVIEW: Enhances data processing using GPUs, enabling faster computations and significantly improved throughput.

Available Tools:

File Importator and Generator: A versatile toolkit for importing and converting deep learning models from frameworks like Keras, TensorFlow, and PyTorch, with added features for visualization and LabVIEW integration.

Netron for LabVIEW: A flexible viewer for inspecting neural network architectures, supporting multiple formats and aiding developers in analyzing layers, weights, and parameters.

Available Hardware Drivers:

CUDA Installer for the Deep Learning Toolkit and Accelerator Toolkit: Simplifies GPU integration for accelerated processing and deep learning workflows.

Available Models:

Florence 2: Enables high-performance vision tasks with a focus on advanced visual understanding.

Llama 3.1: Specializes in natural language understanding and generation for diverse applications.

Sam 2: Provides segmentation capabilities for precise image and video analysis.

 

Yolo V10m: Optimized for medium-scale object detection with high accuracy and speed.

Yolo V11m: An enhanced version for more complex object detection scenarios with improved model efficiency.

Deep Reinforcement Learning Environment:

  • Lunar Lander: Includes a demonstrator for the Dueling DDQN architecture.

Of course, the catalog will expand rapidly—our developers are actively working on it!

Join the SOTA revolution today and unlock a new world of possibilities for your AI projects!

If you would like to be part of the beta testing phase, contact us today and join the innovators shaping the future of AI!

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