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Bookmark or Share- TensorRT-LLM User Guide — NVIDIA Triton Inference ServerTensorRT-LLM (TRT-LLM) is an open-source library designed to accelerate and optimize the inference performance of large language models (LLMs) on NVIDIA GPUs. TRT-LLM offers users an easy-to-use Python API to build TensorRT engines for LLMs, incorporating state-of-the-art optimizations to ensure efficient inference on NVIDIA GPUs.
- GitHub - NVIDIA/TensorRT-LLM: TensorRT-LLM provides users with an easy ...TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
- Installing on Windows — tensorrt_llm documentation - GitHub PagesInstall TensorRT-LLM. If you have an existing TensorRT installation (from older versions of tensorrt_llm), please execute
- Running LLMs with TensorRT-LLM on Nvidia Jetson AGX Orin Dev KitIn this tutorial, I will deploy Large Language Models (LLMs) using the TensorRT-LLM on the Nvidia Jetson AGX Orin Developer Kit. By Nurgaliyev Shakhizat. Thanks!
- NVIDIA TensorRT-LLM - NVIDIA Docs - NVIDIA Documentation HubNVIDIA TensorRT-LLM provides an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
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