Hardware
Deploy an Open Model from Checkpoint to Inference in Two Commands with NVIDIA TensorRT Model Connect
NVIDIA TensorRT Model Connect delivers a set of reference implementations for deploying open‑source models from Hugging Face checkpoints to native C++ inference in two steps: a Python CLI builds a dep
NVIDIA TensorRT Model Connect delivers a set of reference implementations for deploying open‑source models from Hugging Face checkpoints to native C++ inference in two steps: a Python CLI builds a deployment bundle and the bundle is loaded and run with C++ APIs that require no PyTorch or Python interpreter.
The library offers both semantic (task‑level) and module‑level APIs, allowing users to control inputs and outputs at the task level or directly manipulate tensors, while custom GPU kernels can be added through TVM FFI.
Supported models, architecture details, and a full developer guide are maintained via nightly releases and AI‑native development tooling, enabling rapid integration of evolving open models into production applications.
Related
- Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support
- Make Long-Running NVIDIA TensorRT Engine Builds Observable and Cancelable in Python or C++
Source: NVIDIA Developer | 2026-08-28