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NVIDIA AI Enterprise
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  • Displaying 34 results
    Triton Inference Server is an open source software that lets teams deploy trained AI models from any framework, from local or cloud storage and on any GPU- or CPU-based infrastructure in the cloud, data center, or embedded devices.
    Container
    NVIDIA Developer Program
    Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
    Container
    NVIDIA AI Enterprise
    Triton Inference Server Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
    Container
    NVIDIA AI Enterprise
    Triton Inference Server PB October 2025 (PB 25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
    Container
    NVIDIA AI Enterprise
    Triton Inference Server PB May 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
    Container
    The Merlin PyTorch container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with PyTorch, and serve the trained model on Triton Inference Server.
    Container
    NVIDIA AI Enterprise
    Triton Inference Server is an open source software that lets teams deploy trained AI models from any framework, from local or cloud storage and on any GPU- or CPU-based infrastructure in the cloud, data center, or embedded devices.
    Container
    The Merlin TensorFlow container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with TensorFlow, and serve the trained model on Triton Inference Server.
    Container
    NVIDIA AI Enterprise IGX
    Triton Inference Server is an open source software that lets teams deploy trained AI models from any framework, from local or cloud storage and on any GPU- or CPU-based infrastructure in the cloud, data center, or embedded devices.Please add description
    Container
    The Merlin HugeCTR container enables you to perform data preprocessing, feature engineering, train models with HugeCTR, and then serve the trained model with Triton Inference Server.
    Container
    NVIDIA Developer Program
    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
    This container allows users to deploy NVTabular workflows and PyTorch models to Triton Inference server for production.
    Container
    NVIDIA AI Enterprise
    Triton Inference Server Production Branch 6 offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
    Container
    Nvidia Sample CV Event Detector Microservice for detecting events for VSS Event Reviewer workflow.
    Container
    This container allows users to deploy NVTabular workflows and TensorFlow models to Triton Inference server for production.
    Container
    NVIDIA Developer Program
    Atomistic Molecular Dynamics NIM with machine learning interatomic potentials.
    Container
    Jupyter Notebooks for BERT Pre-training, Fine-Tuning and Inference profiling and optimization via TensorFlow, AMP, XLA, DLProf, TF-TRT and Triton.
    Container
    Fine-tune a pre-trained BERT model with the SQuAD dataset, optimize for inference using TensorRT and deploy with Triton Inference Server on Google Cloud AI Platform using Custom Containers
    Resource
    Build an example Traffic Cam Footage Analyzer Using the NVIDIA DeepStream SDK and Triton Inference Server to identify and classify vehicles (sedan, truck, SUV, etc.) from live traffic camera streams
    Resource
    People semantic segmentation network, finetuned on robotics AMR dataset, optimized for Issac Perceptor & Nvblox.
    Model
    This notebook demonstrates how to optimize a fine-tuned BERT TF checkpoint to TensorRT and then how to deploy it for inference using Triton inference server on OpenShift cluster.
    Resource
    People bounding box detection network, finetuned on robotics AMR dataset, optimized for multi-camera RealSense setup. Used in nvblox multi-camera optimization.
    Model
    Demo notebook to deploy BERT QA model on Azure ML with Triton Inference Server
    Resource
    RHEL Triton x86 SDK Beta asset
    Resource

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