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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 718 results

DCGM Exporter converts selected DCGM telemetry fields to Prometheus text format. Run one exporter on each GPU node that Prometheus monitors.
Container
Docker containers distributed as part of the TAO Toolkit package
Container
Build and Run GPU Accelerated Docker Containers.
Container
Deploy and Manage NVIDIA GPU resources in Kubernetes.
Container
Provision NVIDIA GPU Driver as a Container
Container
cuda
NVIDIA
Container registry for CUDA images
Container
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
DCGM
NVIDIA
Manage and Monitor GPUs in Cluster Environments.
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
NVIDIA Network Operator Helm Chart provides an easy way to install, configure and manage the lifecycle of NVIDIA Mellanox network operator.
Helm Chart
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
Llama 3.1 70B-Instruct NIM Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
Container
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.
Container
An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
Container
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 GPU accelerated Llama 3.1 8B inference through OpenAI compatible APIs
Container
NVIDIA NIM for GPU accelerated Llama-3.1-8B-Instruct inference through OpenAI compatible APIs
Container
This container houses the Llama-3.1-70B-Instruct, which is a multilingual large language model from the Meta Llama 3.1 collection of pretrained and instruction-tuned generative models.
Container
DOCA Telemetry Service (DTS) is a DOCA Service for collecting and exporting telemetry data. Both predefined and user-defined telemetry counters are available and the export is made by Prometheus, Fluent Bit, Open Telemetry and netflow.
Container
Deploy and manage NVIDIA networking resources in Kubernetes.
Container
NVIDIA DOCA-OFED Driver for NVIDIA Network Adapters The NVIDIA DOCA-OFED driver container offers an alternative to the traditional DOCA-Host package-based installation by simply deploying a containerized driver image on the host.
Container
GDRCopy kernel mode driver
Container
DOCA HBN
NVIDIA
Host based networking (HBN) is a DOCA Service that runs on NVIDIA's DPU. It orchestrates network connectivity of dynamically created VMs/Containers on cloud servers. HBN service is a BGP router that supports EVPN extension to enable multi-tenant cloud.
Container
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