CatalogContainers
Containers
The NGC catalog hosts containers for AI/ML, metaverse, and HPC applications and are performance-optimized, tested, and ready to deploy on GPU-powered on-prem, cloud, and edge systems.
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Monitor GPUs in Kubernetes using NVIDIA DCGM. This is an exporter for a Prometheus monitoring solution in Kubernetes.
The NVIDIA Kubernetes Device Plugin registers GPUs as compute resources in the Kubernetes cluster.
Validates NVIDIA GPU Operator components
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.
Provision NVIDIA GPU Driver as a Container.
Plugin for the Kubernetes Node Feature Discovery for adding GPU node labels.
CUDA is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the NVIDIA GPUs.
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.
Build and Run GPU Accelerated Docker Containers.
Manages NVIDIA Driver upgrades in Kubernetes cluster.
Deploy and Manage NVIDIA GPU resources in Kubernetes.
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.
Manage and Monitor GPUs in Cluster Environments.
Collection of containerized CUDA Samples
Allegro Trains delivers an optimized, seamless, and scalable solution for training on DGX machines with ML-Ops and experiment management features.
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.
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.
DeepStream
Signed Images
DeepStream SDK delivers a complete streaming analytics toolkit for AI based video and image understanding and multi-sensor processing. This container is for NVIDIA Enterprise GPUs.
The NVIDIA HPC-Benchmarks collection provides three NVIDIA accelerated HPC benchmarks: HPL-NVIDIA, HPL-AI-NVIDIA, and HPCG-NVIDIA.
NeMo
Signed Images
NVIDIA NeMo(Neural Modules) is an open source toolkit for conversational AI. It is built for data scientists and researchers to build new state of the art speech and NLP networks easily through API compatible building blocks that can be connected together
NVIDIA L4T Base
Signed Images
NVIDIA L4T is a Linux based software distribution for the NVIDIA Jetson embedded computing platform.
Manage MIG partitions in Kubernetes with a simple label change to a node.
MATLAB is a programming platform designed for engineers and scientists. The MATLAB Deep Learning Container provides algorithms, pretrained models, and apps to create, train, visualize, and optimize deep neural networks.
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.
The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries and tools essential to maximizing developer productivity and the performance and portability of HPC applications.