Skip to main content
ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator

Search

Search thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
Accelerate custom generative AI app deployment using pre-built containers with optimized AI models.

Displaying 36 results

Triton Inference Server
NVIDIA
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
DiffDock
MIT
Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
Container
Triton Inference Server PB October 2025 (PB 25h2)
NVIDIA
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
Merlin PyTorch
NVIDIA
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
Triton Inference Server PB October 2024 (PB 24h2)
NVIDIA
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
Triton Inference Server PB March 2025 (PB 25h1)
NVIDIA
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
Merlin TensorFlow
NVIDIA
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
Triton Inference Server Long-Term Support Branch 2 (LTSB 2)
NVIDIA
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
Tritonserver LTSB2 IGX
NVIDIA
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
Merlin HugeCTR
NVIDIA
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 Semantic Split C-RADIO (Video)
NVIDIA
Semantic Split C-RADIO NIM for content-aware semantic video splitting of raw long-form videos.
Container
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
Triton Inference Server Production Branch 6
NVIDIA
Triton Inference Server Production Branch 6 offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
Container
Merlin PyTorch Inference
NVIDIA
This container allows users to deploy NVTabular workflows and PyTorch models to Triton Inference server for production.
Container
Merlin Tensorflow Inference
NVIDIA
This container allows users to deploy NVTabular workflows and TensorFlow models to Triton Inference server for production.
Container
Nvidia VSS CV Event Detector
NVIDIA
Nvidia Sample CV Event Detector Microservice for detecting events for VSS Event Reviewer workflow.
Container
ALCHEMI Batched Molecular Dynamics
NVIDIA
Atomistic Molecular Dynamics NIM with machine learning interatomic potentials.
Container
body-pose
NVIDIA
The 3D Body Pose NIM estimates 3D human body pose and skeleton from video input using GPU-accelerated inference. It processes video frames through a Triton Inference Server backend and returns pose estimation results via a gRPC streaming API.
Container
Fine-Tune and Optimize BERT
NVIDIA
Jupyter Notebooks for BERT Pre-training, Fine-Tuning and Inference profiling and optimization via TensorFlow, AMP, XLA, DLProf, TF-TRT and Triton.
Container
BERT on Google Cloud AI Platform
NVIDIA
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
Traffic Cam Analyzer on A100 MIG
NVIDIA
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
PeopleSemSeg AMR
NVIDIA
People semantic segmentation network, finetuned on robotics AMR dataset, optimized for Issac Perceptor & Nvblox.
Model
BERT QA on Azure ML with Triton Demo
NVIDIA
Demo notebook to deploy BERT QA model on Azure ML with Triton Inference Server
Resource
OpenShift BERT Example
NVIDIA
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
1-24 of 36 items

Modal Content

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.

Manage Settings