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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 112 results

monai_spleen_ct_segmentation
NVIDIA
A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
Model
MATLAB
Mathworks
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.
Container
PeopleSemSegnet
NVIDIA
Semantic segmentation of persons in an image.
Model
Riva Speech Skills
NVIDIA
Riva Speech Skills Helm Chart
Helm Chart
Mask Grounding DINO CC
NVIDIA
Open vocabulary multi-modal instance segmentation model trained on commercial data.
Model
Action Recognition Net
NVIDIA
5 class action recognition network to recognize what people do in an image.
Model
Riva NIM
NVIDIA
Riva NIM Helm Chart
Helm Chart
Pre-trained SegFormer ImageNet weights
-
Pre-trained SegFormer weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
Model
Grounding DINO
NVIDIA
Open vocabulary multi-modal object detection model trained on commercial data.
Model
ReIdentificationNet
—
Re-Identification network to generate embeddings for identifying persons in different scenes.
Model
NGC Pre-Flight Check
NVIDIA
The Pre-Flight Check container verifies that the container runtime is setup correctly for GPUs and InfiniBand.
Container
Re-Identification Transformer
NVIDIA
SWIN Transformer based Re-Identification network to generate embeddings for identifying persons in different scenes.
Model
LPDNet
NVIDIA
Object Detection network to detect license plates in an image of a car.
Model
monai_brats_mri_segmentation
NVIDIA
A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data.
Model
Optical Character Detection
NVIDIA
Network to detect characters in an image.
Model
Pre-trained DINO NvImageNet weights
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Pre-trained DINO weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
Model
Mask2Former
NVIDIA
Binary instance segmentation model trained on COCO data.
Model
Pre-trained FAN based NVImageNet Classification weights
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Pre-trained FAN weights trained on NVImageNet to facilitate transfer learning using TAO Toolkit.
Model
Dynamo Sidecar
NVIDIA
The Dynamo Sidecar image is a CPU-only multi-arch container that runs beside a stock SGLang, TensorRT-LLM, or vLLM engine and connects it to Dynamo over the engine's native gRPC API. Experimental in v1.5.0.
Container
CANDLE
Open Source
The CANDLE project is focused on facilitating cancer research with deep learning. The CANDLE software allows deep learning workflows to be deployed at large scale supercomputers.
Container
PointPillarNet
NVIDIA
Model to detect one or more objects from a LIDAR point cloud file and return 3D bounding boxes.
Model
Pre-trained FAN based ImageNet Classification weights
—
Pre-trained FAN weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
Model
Optical Inspection
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Model to detect defects in soldered components on a Printed Circuit Board.
Model
Optical Character Recognition
NVIDIA
Model to recognise characters from a preceding OCDNet model.
Model
1-24 of 112 items

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