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

Two commands: from Hugging Face to production C++ inference. NVIDIA's TensorRT Model Connect eliminates the ONNX middleman.

Reporting by MarkTechPost 1 min brief
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The KeyNews take

Why it matters

TensorRT Model Connect streamlines the model-to-deployment pipeline for practitioners building inference services, removing friction from checkpoint to optimized native code — a meaningful quality-of-life improvement for production ML teams.

The key facts

7 to know

  1. TensorRT Model Connect released in public preview

  2. Apache 2.0 license

  3. Converts Hugging Face or local checkpoints to TensorRT inference in two commands

  4. No ONNX export step required

  5. Outputs versioned .bundle artifacts running through native C++ task APIs

  6. Runtime executes without PyTorch in the path

  7. 105 release profiles across 76 model families supported (July 29, 2026 GB300 snapshot)

Go to the source

MarkTechPostmarktechpost.com

Publisher excerpt: 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 that runs through…
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