NVIDIA Introduces TensorRT Model Connect to Streamline AI Model Deployment to C++

The software engineering team at NVIDIA released a public preview of TensorRT Model Connect, a tool designed to expedite moving trained models from Hugging Face into high-performance C++ applications. Instead of the traditional multi-step conversion pipeline, users can generate production-ready artifacts in just two commands, with PyTorch no longer required at runtime. The open-source initiative, distributed under Apache 2.0, provides model-family-specific converters rather than attempting to handle all cases with a single solution. Through built-in task application programming interfaces, developers avoid repetitive integration work across different models. The current release prioritizes the ARM architecture on Linux with Python 3.10 and 3.12 support, while x86_64 users can build from source using Docker. Notably, the entire codebase—from model implementations to testing frameworks—was developed using OpenAI Codex AI agents under human guidance.