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Displaying 26 results

TensorRT LLM Release
NVIDIA
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
Container
TensorRT LLM Develop
NVIDIA
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
Container
NVOF
NVIDIA
NVOF is a deep learning based optical flow estimation and stereo matching solution.
Model
relighting
NVIDIA
AI4M Relighting is an AI-powered video relighting that dynamically re-illuminates a person with virtual studio lighting using HDR environment maps. Supports adjustable lighting direction, intensity, specular highlights, and background compositing.
Container
NVIDIA Semantic Split C-RADIO (Video)
NVIDIA
Semantic Split C-RADIO NIM for content-aware semantic video splitting of raw long-form videos.
Container
TensorRT PB October 2025 (PB25h2)
NVIDIA
TensorRT Production Branch October 2025 (PB 25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release includes Government Ready images for regulated environments.
Container
TensorRT May 2025 (PB25h1)
Nvidia
TensorRT Production Branch May 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release is a branch of TensorRT 25.03.
Container
TensorRT LTSB2 IGX
NVIDIA
NVIDIA TensorRT is a C++ library that facilitates high-performance inference on NVIDIA graphics processing units (GPUs). TensorRT takes a trained network and produces a highly optimized runtime engine that performs inference for that network.
Container
RT-DETR 2D Warehouse
NVIDIA
RT-DETR object detection model for 2D warehouse applications
Model
TensorRT Production Branch 6
NVIDIA
TensorRT Production Branch 6 offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release includes Government Ready images for regulated environments.
Container
Nvidia VSS CV Event Detector
NVIDIA
Nvidia Sample CV Event Detector Microservice for detecting events for VSS Event Reviewer workflow.
Container
PyNvVideoCodec
NVIDIA
PyNvVideoCodec is NVIDIA’s Python based video codec library for hardware accelerated video encode and decode on NVIDIA GPUs.
Resource
SyntheticaDETR
NVIDIA
SytheticaDETR is a real-time object detection model based on a transformer architecture trained entirely in simulation and works on real images zero-shot.
Model
Phi-2 (TensorRT LLM)
NVIDIA
Phi-2 is a 2.7 billion parameter language model developed by Microsoft Research. The phi-2 model is best suited for prompts using the Question-Answer (QA) format, the chat format, and the code format.
Model
PeopleSemSeg AMR
NVIDIA
People semantic segmentation network, finetuned on robotics AMR dataset, optimized for Issac Perceptor & Nvblox.
Model
PeopleNet AMR
NVIDIA
People bounding box detection network, finetuned on robotics AMR dataset, optimized for multi-camera RealSense setup. Used in nvblox multi-camera optimization.
Model
Llama 2 7B Chat (TensorRT LLM)
NVIDIA
Llama 2 is a large language AI model comprising a collection of models capable of generating text and code in response to prompts.
Model
Mistral 7B Instruct (TensorRT LLM)
NVIDIA
Mistral-7B-Instruct is a language model that can follow instructions, complete requests, and generate creative text formats.
Model
Gemma 2B Instruct (TensorRT LLM)
NVIDIA
Gemma-2B is a 2.5B parameter model from Gemma family of models from Google. It has been instruction-tuned so it can respond to prompts in a conversational manner.
Model
NVSaliENC
NVIDIA
NVSaliENC uses deep learning-based saliency maps to optimize perceptual video quality in real time, prioritizing visually important regions for efficient, bandwidth-saving compression with NVENC integration.
Model
Deep Learning Frameworks
NVIDIA
This collection contains performance-optimized Deep Learning frameworks.
Collection
English Parakeet 0.6b-v2 TDT collection
NVIDIA
A collection of easy to use, highly optimized Deep Learning Models for Speech Recognition. The Parakeet collection provides Data Scientists and Software Engineers with recipes to train, fine-tune, and deploy state-of-the-art ASR models.
Collection
Mandarin-English Parakeet 0.6b CTC collection
NVIDIA
A collection of easy to use, highly optimized Deep Learning Models for Speech Recognition. The Parakeet collection provides Data Scientists and Software Engineers with recipes to train, fine-tune, and deploy state-of-the-art ASR models.
Collection
Spanish Parakeet 0.6b CTC collection
NVIDIA
A collection of easy to use, highly optimized Deep Learning Models for Speech Recognition. The Parakeet collection provides Data Scientists and Software Engineers with recipes to train, fine-tune, and deploy state-of-the-art ASR models.
Collection
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