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 AI Enterprise
NVIDIA AI Enterprise
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NVIDIA NIM
NVIDIA NIM
NIM Container GPUs
NIM Container GPUs
Use Case
Use Case
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NVIDIA Platform
NVIDIA Platform
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Industry
Industry
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Solution
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Publisher
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Policy
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Displaying 89 results
Deploy and Manage NVIDIA GPU resources in Kubernetes.
Helm Chart
Deploy and Manage NVIDIA GPU resources in Kubernetes.
Container
OSMO container for service APIs
Container
Deploy and manage NVIDIA networking resources in Kubernetes.
Container
OSMO container to enable exec and port-forwarding for workflows
Container
OSMO container to stream logs from workflow in real-time
Container
OSMO container to process jobs as Kubernetes objects
Container
OSMO container to monitor and clean up all jobs exceeding the timeouts
Container
NVIDIA
NVIDIA
OSMO Init
OSMO container to initialize the controller
Container
OSMO container to submit jobs in the backend compute cluster
Container
OSMO container to enable CLIs
Container
OSMO container to stream node and pod events from the backend compute cluster
Container
OSMO container for web application
Container
Semantic segmentation of persons in an image.
Model
Helm Chart to deploy TAO Toolkit APIs
Helm Chart
OSMO container to process workflows and convert to jobs
Container
NVIDIA Mission Control
Job-manager component of AJR
Container
OSMO container to evaluate user roles and access
Container
4 class object detection network to detect cars in an image.
Model
Pretrained weights to facilitate transfer learning using TAO Toolkit.
Model
NVIDIA Mission Control
Workflow Controller component of AJR
Container
Pretrained weights to facilitate transfer learning using TAO Toolkit.
Model
Resnet18 model to classify a car crop into 1 out 6 car types.
Model
Folding@home
Folding@home
Folding@home is a distributed computing project for simulating protein dynamics, including the process of protein folding and the movements of proteins implicated in a variety of diseases. It brings together citizen scientists who volunteer to run simulations of protein dynamics on their computers. Insights from this data are helping scientists to better understand biology, and providing new opportunities for developing therapeutics.
Container

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