Six months ago, we launched the Ignition AI ecosystem with a simple mission: to build the definitive platform for high-performance C++ AI. The community response to `xTorch` and `xInfer` has been incredible, and today we want to share the next major step in our journey.

While our open-source tools have successfully solved the local performance problem, one major bottleneck remains: the engine build process itself. It's slow, heavy, and hardware-specific. To solve this, we are building the Ignition Hub.

The Vision: The "Docker Hub" for AI Models

The Ignition Hub will be a cloud-native platform that provides pre-built, hyper-optimized TensorRT engines on demand. Our automated build farm will generate a massive catalog of engines for every major open-source model, across every major NVIDIA GPU architecture.

The workflow will be transformed. Instead of building an engine, you will simply download it.

Announcing "Ignition Hub for Enterprise"

Alongside our public hub for open-source models, we are excited to announce our first commercial product: Ignition Hub for Enterprise. This will be a secure, private, and powerful SaaS platform for professional teams, featuring:

• Private Model Hosting: Upload your proprietary, fine-tuned models and use our build farm to create optimized engines, all within a secure, private environment.
• Automated Build Pipelines: Integrate our build service directly into your CI/CD pipelines via a REST API.
• Guaranteed Support & SLAs: Get mission-critical support from our team of expert CUDA and TensorRT engineers.

Our Roadmap for 2026

• Q1 2026: `Ignition Hub` public beta launch with support for the top 100 vision and NLP models.
• Q2 2026: `xInfer` v2.0 release with seamless `zoo` and `hub` integration.
• Q3 2026: "Ignition Hub for Enterprise" private beta launch with our first design partners.
• Q4 2026: Public launch of our commercial offerings.

We are building the future of AI deployment. Thank you for being a part of this journey with us.