Powering edge AI: welcome to Aidge!#

Aidge is an innovative, open-source framework designed to streamline and accelerate the deployment of Deep Neural Networks onto diverse hardware targets. In today’s rapidly evolving AI landscape, moving from a trained model to a high-performance, production-ready application can be a complex and time-consuming process.

Aidge addresses this challenge by providing a comprehensive set of tools and methodologies, specifically built for embedded systems and edge devices where resource constraints are paramount, to efficiently analyze, optimize, validate and deploy your AI models.

Ready to get started? Dive into our 101 tutorial!

Why Aidge stands out?#

End-to-end workflow integration#

Traditional embedded AI development often grapples with fragmented workflows and opaque “black-box” solutions. Aidge provides an open and end-to-end integrated platform, streamlining the entire AI lifecycle from model design to optimized deployment. Its open and modular architecture ensures a high degree of interoperability with existing development environments and toolchains (PyTorch, ONNX, etc.), allowing seamless integration into your current ecosystem.

Learn how Aidge works with ONNX .

Efficient optimization techniques#

Aidge offers proven optimization techniques like quantization, pruning and compression to significantly reduce model size and energy consumption, without compromising performance. Our methods are reproducible and work independently of any hardware SDKs.

Dive into our tutorial to master post-training quantization.

Advanced model transformations#

Our intermediate representation provides powerful capabilities for graph manipulation and transformation, allowing precise adaptation of AI models for embedded hardware constraints.

Master graph matching and tiling with our tutorials.

Multi-platform deployment#

Aidge ensures transparent code generation, providing clear visibility into the final implementation, fostering trust and ease of debugging. Through its unified edge AI deployment framework, it facilitates multi-platform deployment of optimized models across diverse target architectures.

Our tutorials guide you through C++ deployment and TensorRT integration.

Deep model insights#

Aidge provides comprehensive tools for model analysis and optimization, helping you understand model complexity and resource footprint. The Aidge Model Explorer, built on the Google Model Explorer, offers intuitive navigation through model architectures. Additionally, Aidge makes it easy to benchmark model performance by enabling straightforward comparisons with other frameworks, including PyTorch, and ONNXRT.

Check out our tutorial on static model analysis

Our commitments#

Embracing Openness#

Aidge is a collective asset designed to facilitate the deployment of edge AI. Proudly hosted by the Eclipse Foundation, it ensures complete vendor neutrality and transparent governance. This open-source model fosters a vibrant, community-driven development, where diverse contributions converge to build a robust and widely accessible platform for sustainable edge AI innovation.

Building Trustworthiness#

In an era where trust in AI is paramount, Aidge stands out by making every element of its toolchain open and traceable. This unwavering commitment to transparency builds profound trust among developers and users alike. By providing a clear, auditable path for every process, Aidge aims at meeting stringent requirements needed for certification in critical embedded AI applications.

Let’s build embedded AI together!#

Why contribute to Aidge?#

Your expertise, innovative ideas, and passion would be huge plus to making Aidge the leading open-source platform for embedded AI. Whether you code, test, write documentation, or simply use Aidge, there are countless ways to get involved.

Contributing to Aidge offers unique advantages:

Real-world impact: your contributions directly shape the future of embedded AI.
Skill Enhancement: learn from peers and deepen your technical expertise in a collaborative environment.
Engaged community: become part of a dynamic and welcoming open-source community.

Connect with our community!#

Stay informed and get involved with the latest Aidge developments:

GitLab Project: access the Aidge GitLab repository for code, issues, and discussions.
Wiki Home: dive into detailed information and contributor guidelines.
Developer Chat: engage directly with the Aidge developer community to participate in technical discussions.