For years, a chasm has divided the world of artificial intelligence. On one side lies the vibrant, fast-moving world of Python-based research, powered by incredible tools like PyTorch. On the other side lies the demanding, high-stakes world of production C++ systems—robotics, finance, defense, and gaming—where every millisecond of latency and every watt of power matters.

Bridging this chasm has been a story of painful compromises, buggy integrations, and missed opportunities. Developers have been forced to choose between the productivity of Python and the performance of C++. Today, that compromise ends.

We are thrilled to announce the launch of the Ignition AI Ecosystem, a complete, end-to-end platform designed from first principles to make high-performance C++ AI as productive, intuitive, and powerful as its Python counterpart.

The Two Pillars of Our Ecosystem

Our solution is a synergistic, dual-product suite that covers the entire AI development lifecycle in C++:

1. xTorch: The Training & Development Library

xTorch is our open-source, "batteries-included" library for training models. We meticulously recreated the high-level, intuitive API that developers love in PyTorch, but with a hyper-performant C++ backend. It features:

• A powerful Trainer class that automates the entire training loop.
• A rich data module with built-in datasets, transforms, and a multi-process data loader.
• A model zoo of standard, trainable architectures like ResNet and DCGAN.

With xTorch, you can finally build, train, and experiment in the same high-performance language as your final product. The era of Python-to-C++ integration hell is over.

2. xInfer: The Inference Performance Toolkit

xInfer is the "F1 car." It is a specialized C++ toolkit and cloud platform for deploying your trained models at the absolute maximum speed possible. It provides:

• Automated TensorRT Optimization: A simple API (`xinfer::builders`) and command-line tool (`xinfer-cli`) to convert your models into hyper-optimized TensorRT engines.
• The `zoo` API: A library of pre-packaged, production-ready pipelines for common tasks like object detection, abstracting away all complexity.
• Fused CUDA Kernels: A library of unique, hand-tuned kernels that eliminate CPU bottlenecks in pre- and post-processing, delivering a 3x-10x performance advantage.

The Vision: From Infrastructure to Application

This is just the beginning. Our long-term vision is to leverage this foundational infrastructure to build world-class, vertically integrated AI solutions, starting with **"Aegis Sky,"** a next-generation perception engine for the autonomous defense industry.

But first, we are putting these powerful tools in your hands. We believe that by empowering the world's best C++ engineers, we can unlock a new wave of innovation in real-world AI.

Welcome to the future of C++ AI. Welcome to Ignition AI.

Get Started:

• Installation Guide
• 5-Minute Quickstart
• Explore our projects on GitHub.