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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 Enterprise
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NIM Container GPUs
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Displaying 243 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
NeMo Framework Megatron Backend
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
NVIDIA Developer Program
Nvidia
Nvidia
NVIDIA NIM for GenMol
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
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
NVIDIA NIM Operator
An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
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
NVIDIA Developer Program
MIT
DiffDock
Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
Container
NVIDIA
NVIDIA
NVIDIA Parabricks
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
NVIDIA
NVIDIA
GPT-OSS-120B
NVIDIA NIM for GPU accelerated GPT-OSS-120B Model inference through OpenAI compatible APIs
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
GPT-OSS-20B
NVIDIA NIM for GPU accelerated GPT-OSS-20B Model inference through OpenAI compatible APIs
Container
NVIDIA
NVIDIA
NVIDIA NIM Operator
Helm chart for NIM Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
Helm Chart
NVIDIA
NVIDIA
Dynamo Platform
A comprehensive Helm chart for deploying the NVIDIA Dynamo operator and its dependencies
Helm Chart
NVIDIA
NVIDIA
nemotron-nano-3
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
NVIDIA
NVIDIA
NVIDIA Confidential Computing Manager For Kubernetes
Manages Confidential Computing Modes on NVIDIA GPUs in a Kubernetes cluster.
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
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