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  • SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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  • Displaying 25 results
    NVIDIA
    NVIDIA
    TensorRT LLM Release
    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
    NVIDIA
    NVIDIA
    NVOF
    NVOF is a deep learning based optical flow estimation and stereo matching solution.
    Model
    NVIDIA
    NVIDIA
    TensorRT LLM Develop
    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
    NVIDIA AI Enterprise
    NVIDIA
    NVIDIA
    TensorRT PB October 2025 (PB25h2)
    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
    NVIDIA Developer Program
    NVIDIA
    NVIDIA
    relighting
    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 AI Enterprise
    Nvidia
    Nvidia
    TensorRT May 2025 (PB25h1)
    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
    NVIDIA AI Enterprise IGX
    NVIDIA
    NVIDIA
    TensorRT LTSB2 IGX
    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
    NVIDIA
    NVIDIA
    RT-DETR 2D Warehouse
    RT-DETR object detection model for 2D warehouse applications
    Model
    NVIDIA
    NVIDIA
    Nvidia VSS CV Event Detector
    Nvidia Sample CV Event Detector Microservice for detecting events for VSS Event Reviewer workflow.
    Container
    NVIDIA AI Enterprise
    NVIDIA
    NVIDIA
    TensorRT Production Branch 6
    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
    NVIDIA
    PyNvVideoCodec
    PyNvVideoCodec is NVIDIA’s Python based video codec library for hardware accelerated video encode and decode on NVIDIA GPUs.
    Resource
    NVIDIA
    NVIDIA
    SyntheticaDETR
    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
    NVIDIA
    NVIDIA
    PeopleSemSeg AMR
    People semantic segmentation network, finetuned on robotics AMR dataset, optimized for Issac Perceptor & Nvblox.
    Model
    NVIDIA
    NVIDIA
    Phi-2 (TensorRT LLM)
    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
    NVIDIA
    NVIDIA
    PeopleNet AMR
    People bounding box detection network, finetuned on robotics AMR dataset, optimized for multi-camera RealSense setup. Used in nvblox multi-camera optimization.
    Model
    NVIDIA
    NVIDIA
    Llama 2 7B Chat (TensorRT LLM)
    Llama 2 is a large language AI model comprising a collection of models capable of generating text and code in response to prompts.
    Model
    NVIDIA
    NVIDIA
    Mistral 7B Instruct (TensorRT LLM)
    Mistral-7B-Instruct is a language model that can follow instructions, complete requests, and generate creative text formats.
    Model
    NVIDIA
    NVIDIA
    Gemma 2B Instruct (TensorRT LLM)
    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
    NVIDIA
    NVIDIA
    NVSaliENC
    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
    Collection
    NVIDIA
    NVIDIA
    Deep Learning Frameworks
    This collection contains performance-optimized Deep Learning frameworks.
    9
    Collection
    NVIDIA AI Enterprise
    NVIDIA
    NVIDIA
    English Parakeet 0.6b-v2 TDT collection
    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.
    13
    Collection
    NVIDIA AI Enterprise
    NVIDIA
    NVIDIA
    Mandarin-English Parakeet 0.6b CTC collection
    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.
    13
    Collection
    NVIDIA AI Enterprise
    NVIDIA
    NVIDIA
    Spanish Parakeet 0.6b CTC collection
    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.
    13
    Collection
    NVIDIA AI Enterprise
    NVIDIA
    NVIDIA
    Taiwanese Mandarin Parakeet 0.6b CTC collection
    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.
    13

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