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 108 results

TAO Toolkit
NVIDIA
Docker containers distributed as part of the TAO Toolkit package
Container
PyTorch
NVIDIA
PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.
Container
RAPIDS Notebooks
NVIDIA
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
Container
vLLM
NVIDIA
vLLM is a fast and easy-to-use library for LLM inference and serving. The NVIDIA vLLM NGC Container is optimized for GPU acceleration, and contains a validated set of libraries that enable and optimize GPU performance.
Container
RAPIDS Base
NVIDIA
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
Container
Allegro Trains Agent
Allegro AI
Allegro Trains delivers an optimized, seamless, and scalable solution for training on DGX machines with ML-Ops and experiment management features.
Container
rapidsai/rapidsai
Open Source
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
Container
Dynamo Platform
NVIDIA
A comprehensive Helm chart for deploying the NVIDIA Dynamo operator and its dependencies
Helm Chart
rapidsai/rapidsai-core
Open Source
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
Container
Kaldi
NVIDIA
Kaldi is an open-source software framework for speech processing.
Container
sglang-runtime-nightly
NVIDIA
The Dynamo SGLang runtime nightly image is a containerized build of Dynamo + SGLang which serves as the base runtime environment for sglang based inference with Dynamo's distributed inference framework which is published every night.
Container
vllm-runtime-nightly
NVIDIA
The Dynamo vLLM runtime nightly image is a containerized build of Dynamo + vLLM which serves as the base runtime environment for vLLM based inference with Dynamo's distributed inference framework published at a nightly cadence.
Container
tensorrtllm-runtime-nightly
NVIDIA
The Dynamo TensorRT-LLM runtime nightly image is a containerized build of Dynamo + TensorRT-LLM which serves as the base runtime environment for tensorrt-llm based inference with Dynamo's distributed inference framework published at a nightly cadence.
Container
SGLang
NVIDIA
SGLang is a fast serving framework for large language models and vision language models. The NVIDIA SGLang NGC Container is optimized for GPU acceleration, and contains a validated set of libraries that enable and optimize GPU performance.
Container
DGL
NVIDIA
Deep Graph Library (DGL) is a Python package built for the implementation and training of graph neural networks on top of existing DL frameworks. The DGL NGC Container is built with the latest versions of DGL, PyTorch, and their dependencies.
Container
Dynamo Frontend Nightly
NVIDIA
The Dynamo frontend nightly image is a framework-less image which contains core Dynamo components along with Endpoint Picker (EPP) for Gateway API Inference Extension (GAIE) and is published at nightly cadence.
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
Morpheus
NVIDIA
NVIDIA Morpheus is an open AI application framework for cybersecurity developers.
Container
Dynamo CRDs
NVIDIA
A Helm chart that manages Custom Resource Definitions (CRDs) for the NVIDIA Dynamo ecosystem in Kubernetes
Helm Chart
Dynamo Planner Nightly
NVIDIA
The Dynamo Planner Nightly image is a containerized build of Planner that serves as the runtime environment for SLA-driven autoscaling of prefill and decode workers in Dynamo's distributed inference framework. It is published on a nightly cadence.
Container
MONAI Toolkit
NVIDIA
MONAI Toolkit is a one-stop, development sandbox environment for researchers, data scientists, developers, and clinical teams.
Container
Dynamo kubernetes-operator-nightly
NVIDIA
kubernetes-operator-nightly is a container that runs as part of the Dynamo cloud platform released at nightly cadence. Dynamo cloud is a kubernetes platform for deploying and managing inference services.
Container
Multi-AI Sample App Data
NVIDIA
Holoscan Sample App Data for Multi-AI Ultrasound Pipeline
Resource
DoMINO-Automotive-Aero NIM
NVIDIA
This NIM serves as a demonstration of the potential of foundation models for early stage design evaluation in automotive aerodynamics.
Container
1-24 of 108 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