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
NVIDIA Enterprise
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NVIDIA NIM
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NIM Container GPUs
NIM Container GPUs
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Displaying 50 results
Monitor GPUs in Kubernetes using NVIDIA DCGM. This is an exporter for a Prometheus monitoring solution in Kubernetes.
Container
The NVIDIA Kubernetes Device Plugin registers GPUs as compute resources in the Kubernetes cluster.
Container
Deploy and Manage NVIDIA GPU resources in Kubernetes.
Helm Chart
Build and Run GPU Accelerated Docker Containers.
Container
Manages NVIDIA Driver upgrades in Kubernetes cluster.
Container
Deploy and Manage NVIDIA GPU resources in Kubernetes.
Container
NVIDIA Network Operator Helm Chart provides an easy way to install, configure and manage the lifecycle of NVIDIA Mellanox network operator.
Helm Chart
Manage MIG partitions in Kubernetes with a simple label change to a node.
Container
An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
Container
Deploy and manage NVIDIA networking resources in Kubernetes.
Container
Kubernetes Device Plugin built to be used for Kubevirt. Kubevirt is a Kubernetes based technology that provides a unified development platform where users can build, modify, and deploy applications residing in both Application Containers as well as VMs.
Container
Manages NVIDIA vGPU devices in a Kubernetes cluster
Container
Helm chart for NIM Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment
Helm Chart
NVIDIA AI Enterprise
Triton Inference Server PB October 2025 (PB 25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
Container
Sandbox Device Plugin image to be used for vfio passthrough devices with support for IommuFD in a k8s env
Container
NVIDIA AI Enterprise
Multi-LLM NIM Production Branch October 2025 (PB25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release includes Government Ready images for regulated environments
Container
NVIDIA AI Enterprise
This container houses the Llama-3.1-70B-Instruct-pb5.2, which is a multilingual large language model from the Meta Llama 3.1 collection of pretrained and instruction-tuned generative models.
Container
NVIDIA AI Enterprise
The NVIDIA Retrieval QA Llama3.2 1b Embedding NIM is an embedding NIM optimized for multilingual and crosslingual text question-answering retrieval.
Container
NVIDIA AI Enterprise
This container houses the **Llama-3.3-Nemotron-Super-49B-v1.5 PB 25h2**, which is a significantly upgraded version of Llama-3.3-Nemotron-Super-49B-v1 and is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct
Container
NVIDIA AI Enterprise
The NVIDIA Retrieval QA Llama 1B Reranking NIM is a NIM optimized for providing a logit score that represents how relevant a document(s) is to a given query, fine-tuned for multilingual and cross-lingual text question-answering retrieval.
Container
NVIDIA AI Enterprise
NVIDIA GPU Driver with Enterprise Support
Container
NVIDIA AI Enterprise
NVIDIA NIM for GPU accelerated NVIDIA Retrieval QA E5 Embedding v5 inference
Container
NVIDIA AI Enterprise
This container houses the Llama-3.1-8B-Instruct (PB 25h2, Meta's 8B parameter, instruction-tuned LLM from the open-access Llama 3.1 family. It's optimized for dialogue and excels at following user instructions for a wide range of NLP tasks.
Container
NVIDIA AI Enterprise
PyTorch Production Branch October 2025 (PB 25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities. This release includes Government Ready images for regulated environments.
Container

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