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NVIDIA TRTMC simplifies Hugging Face to C++ inference

NVIDIA has launched TensorRT Model Connect (TRTMC) in public preview, an open-source tool designed to streamline the conversion of Hugging Face or local checkpoints into native C++ TensorRT inference. This process bypasses the need for an intermediate ONNX export step, directly producing a versioned artifact that can be integrated into C++ services, embedded applications, or robotics stacks. The tool, which was developed with the assistance of OpenAI Codex agents, aims to simplify deployment for applications requiring on-device inference across various industries like robotics, automotive, and medical devices. AI

IMPACT Streamlines on-device inference for C++ applications, potentially accelerating deployment in robotics and edge computing.

RANK_REASON This is a new tool release from NVIDIA that simplifies a specific part of the ML deployment workflow.

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NVIDIA TRTMC simplifies Hugging Face to C++ inference

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  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    NVIDIA Releases TensorRT Model Connect in Public Preview: Hugging Face Checkpoint to Native C++ Inference in Two Commands

    <p>NVIDIA has released TensorRT Model Connect (TRTMC) in public preview, an Apache-2.0 project that takes a supported Hugging Face or local checkpoint to end-to-end TensorRT inference in two commands, with no intermediate ONNX export. The build emits a versioned .bundle artifact …