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
SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
NVIDIA Enterprise
NVIDIA Enterprise
39
26
9
2
NVIDIA NIM
NVIDIA NIM
9
NIM Container GPUs
NIM Container GPUs
Use Case
Use Case
42
38
14
12
12
9
9
8
6
6
5
4
4
4
3
3
2
2
2
2
1
1
1
1
1
NVIDIA Platform
NVIDIA Platform
31
27
19
15
10
8
8
7
5
5
4
4
3
3
3
2
2
2
1
1
1
1
1
1
1
1
1
Industry
Industry
40
15
10
10
8
8
8
8
7
6
6
5
4
3
3
3
3
2
Solution
Solution
392
266
243
222
173
155
108
107
103
47
47
46
40
16
16
14
12
12
10
9
8
4
3
3
2
1
1
Publisher
Publisher
213
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Policy
Policy
5
Displaying 266 results
NVIDIA
NVIDIA
TAO Toolkit
Docker containers distributed as part of the TAO Toolkit package
Container
NVIDIA
NVIDIA
Triton Inference Server
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
NVIDIA
PyTorch
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
Google
Google
TensorFlow
TensorFlow is an open source platform for machine learning. It provides comprehensive tools and libraries in a flexible architecture allowing easy deployment across a variety of platforms and devices.
Container
NVIDIA
NVIDIA
TensorRT
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
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
vLLM
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
NVIDIA
NVIDIA
CUDA Deep Learning
CUDA is a parallel computing platform and programming model that enhances computing performance using NVIDIA GPUs. CUDA Deep Learning integrates networking and GPU-accelerated libraries like cuDNN, cuTensor, NCCL, HPC-x, and the CUDA Toolkit.
Container
Apache Software Foundation
NVIDIA Optimized Deep Learning Framework powered by Apache MXNet
NVIDIA Optimized Deep Learning Framework, powered by Apache MXNet is a deep learning framework that allows you to mix the flavors of symbolic programming and imperative programming to maximize efficiency and productivity.
Container
Allegro AI
Allegro Trains Agent
Allegro Trains delivers an optimized, seamless, and scalable solution for training on DGX machines with ML-Ops and experiment management features.
Container
NVIDIA
NVIDIA
NVIDIA Magnum IO Developer Environment
NVIDIA Magnum IO is the I/O technologies from NVIDIA and Mellanox that enable applications at scale. The Magnum IO Developer Environment container allows developers to begin scaling their applications on a laptop, desktop, workstation, or in the cloud.
Container
NVIDIA
NVIDIA
Dynamo vLLM Runtime
The Dynamo vLLM runtime 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.
Container
NVIDIA
NVIDIA
Dynamo Tensorrt-LLM Runtime
The Dynamo TensorRT-LLM runtime 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.
Container
NVIDIA
NVIDIA
JAX
JAX is a framework for high-performance numerical computing and machine learning research. It includes Numpy-like APIs, automatic differentiation, XLA acceleration and simple primitives for scaling across GPUs and supports an ecosystem of libraries.
Container
NVIDIA
NVIDIA
CUDA GL
CUDA is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the NVIDIA GPUs. These images extend the CUDA images to include OpenGL support through libglvnd.
Container
NVIDIA
NVIDIA
Getting Start with Recommender System
The Variational Autoencoder for collaborative filtering focuses on providing recommendations.
Resource
NVIDIA
NVIDIA
PyG
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.
Container
NVIDIA
NVIDIA
Dynamo Platform
A comprehensive Helm chart for deploying the NVIDIA Dynamo operator and its dependencies
Helm Chart
NVIDIA
NVIDIA
Dynamo SGLang Runtime
The Dynamo SGLang runtime 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.
Container
NVIDIA
NVIDIA
Dynamo kubernetes-operator
kubernetes-operator is a container that runs as part of the Dynamo cloud platform. Dynamo cloud is a kubernetes platform for deploying and managing inference services. This container manages the lifecycle of Dynamo inference deployments in kubernetes.
Container
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
Triton Inference Server PB October 2024 (PB 24h2)
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
NVIDIA
NVIDIA
Triton Inference Server PB March 2025 (PB 25h1)
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
NVIDIA
NVIDIA
Kaldi
Kaldi is an open-source software framework for speech processing.
Container
...

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.