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NVIDIA Corporation's Projects

tensorrt-llm icon tensorrt-llm

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. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

thrust icon thrust

[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

torch-harmonics icon torch-harmonics

Differentiable spherical harmonic transforms and spherical convolutions in PyTorch

torchfort icon torchfort

An Online Deep Learning Interface for HPC programs on NVIDIA GPUs

transformer-ls icon transformer-ls

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

transformerengine icon transformerengine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

trt-llm-as-openai-windows icon trt-llm-as-openai-windows

This reference can be used with any existing OpenAI integrated apps to run with TRT-LLM inference locally on GeForce GPU on Windows instead of cloud.

trt-llm-rag-windows icon trt-llm-rag-windows

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

vdisc icon vdisc

VDisc is a tool for creating and mounting virtual CD-ROM images backed by object storage

vid2vid icon vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

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