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 265 results

TAO Toolkit
NVIDIA
Docker containers distributed as part of the TAO Toolkit package
Container
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
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
TensorFlow
Google
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
NeMo Framework Megatron Backend
NVIDIA
NVIDIA NeMo™ framework Megatron backend supports pre-training, post-training, and reinforcement learning of LLMs and multi-modal generative AI models with state-of-the-art data processing, model training techniques, and flexible deployment options.
Container
TensorRT
NVIDIA
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
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
NVIDIA NIM Operator
NVIDIA
An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
Container
CUDA Deep Learning
NVIDIA
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
NVIDIA NIM for GenMol
Nvidia
GenMol is a masked diffusion model trained on molecular SAFE representations for fragment-based molecule generation, which can serve as a generalist model for various drug discovery tasks.
Container
NVIDIA Optimized Deep Learning Framework powered by Apache MXNet
Apache Software Foundation
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
nemotron-nano-3
NVIDIA
Nemotron-3-Nano-30B-A3B is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks.
Container
DiffDock
MIT
Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
Container
Llama Nemotron VL Embed 1B
NVIDIA
World-class multimodal question-answering retrieval.
Container
NVIDIA Parabricks
NVIDIA
NVIDIA Parabricks is an accelerated compute framework that supports applications across the genomics industry, primarily supporting analytical workflows for DNA, RNA, and somatic mutation detection applications.
Container
GPT-OSS-120B
NVIDIA
NVIDIA NIM for GPU accelerated GPT-OSS-120B Model inference through OpenAI compatible APIs
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
GPT-OSS-20B
NVIDIA
NVIDIA NIM for GPU accelerated GPT-OSS-20B Model inference through OpenAI compatible APIs
Container
NVIDIA Confidential Computing Manager For Kubernetes
NVIDIA
Manages Confidential Computing Modes on NVIDIA GPUs in a Kubernetes cluster.
Container
NVIDIA NIM Operator
NVIDIA
Helm chart for NIM Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
Helm Chart
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
Llama Nemotron VL Rerank 1B
NVIDIA
World-class multimodal question-answering retrieval reranking NIM.
Container
1-24 of 265 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