N2D2
An open-source CAD framework for designing, simulating, and deploying deep neural networks on embedded platforms.
What is N2D2?
N2D2 is an open-source CAD framework for designing, simulating, and deploying deep neural networks, particularly targeting embedded platforms. It provides tools for model quantization, export, and GPU-accelerated simulation to streamline the development of DNN-based applications. The framework supports both INI configuration files and a Python API for flexible neural network modeling.
Researchers, engineers, and developers working on deep neural network applications for embedded systems, including those in industrial and academic settings who need robust simulation and deployment tooling.
Developers choose N2D2 for its specialized focus on embedded AI, offering integrated quantization techniques, cross-platform support, and GPU acceleration, all within an open-source framework backed by collaborative partnerships.
Overview
N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.
Use Cases
Best For
- Simulating deep neural networks with GPU acceleration for research
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