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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.
NVIDIA AI Enterprise
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Displaying 107 results
NVIDIA
NVIDIA
TAO Toolkit
Docker containers distributed as part of the TAO Toolkit package
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
NVIDIA
NVIDIA
RAPIDS Notebooks
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on 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
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
RAPIDS Base
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
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
Open Source
rapidsai/rapidsai
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
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
Dynamo Platform
A comprehensive Helm chart for deploying the NVIDIA Dynamo operator and its dependencies
Helm Chart
Open Source
rapidsai/rapidsai-core
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
Container
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
Kaldi
Kaldi is an open-source software framework for speech processing.
Container
NVIDIA
NVIDIA
Merlin PyTorch
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
NVIDIA
DGL
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
NVIDIA
NVIDIA
Morpheus
NVIDIA Morpheus is an open AI application framework for cybersecurity developers.
Container
NVIDIA
NVIDIA
Dynamo CRDs
A Helm chart that manages Custom Resource Definitions (CRDs) for the NVIDIA Dynamo ecosystem in Kubernetes
Helm Chart
NVIDIA
NVIDIA
Multi-AI Sample App Data
Holoscan Sample App Data for Multi-AI Ultrasound Pipeline
Resource
NVIDIA
NVIDIA
Dynamo Frontend
The Dynamo frontend image is a framework-less image which contains core Dynamo components along with Endpoint Picker (EPP) for Gateway API Inference Extension (GAIE).
Container
NVIDIA
NVIDIA
SGLang
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
NVIDIA
NVIDIA
MONAI Toolkit
MONAI Toolkit is a one-stop, development sandbox environment for researchers, data scientists, developers, and clinical teams.
Container
NVIDIA Developer Program
NVIDIA
NVIDIA
DoMINO-Automotive-Aero NIM
This NIM serves as a demonstration of the potential of foundation models for early stage design evaluation in automotive aerodynamics.
Container
NVIDIA
NVIDIA
MLflow Triton Plugin
The MLflow Triton plugin is for deploying your models from MLflow to Triton Inference Server.
Container

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