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
NVIDIA NIM
1
NIM Container GPUs
NIM Container GPUs
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Use Case
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NVIDIA Platform
NVIDIA Platform
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Solution
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Publisher
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Policy
Displaying 111 results
A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
Model
Mathworks
MATLAB
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
Semantic segmentation of persons in an image.
Model
Riva Speech Skills Helm Chart
Helm Chart
5 class action recognition network to recognize what people do in an image.
Model
Open vocabulary multi-modal instance segmentation model trained on commercial data.
Model
Pre-trained SegFormer weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
Model
Open vocabulary multi-modal object detection model trained on commercial data.
Model
SWIN Transformer based Re-Identification network to generate embeddings for identifying persons in different scenes.
Model
NVIDIA
NVIDIA
LPDNet
Object Detection network to detect license plates in an image of a car.
Model
Re-Identification network to generate embeddings for identifying persons in different scenes.
Model
A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data.
Model
Network to detect characters in an image.
Model
NVIDIA Developer Program
NVIDIA
NVIDIA
Riva NIM
Riva NIM Helm Chart
Helm Chart
Pre-trained DINO weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
Model
Binary instance segmentation model trained on COCO data.
Model
The Pre-Flight Check container verifies that the container runtime is setup correctly for GPUs and InfiniBand.
Container
Pre-trained FAN weights trained on NVImageNet to facilitate transfer learning using TAO Toolkit.
Model
Model to detect one or more objects from a LIDAR point cloud file and return 3D bounding boxes.
Model
Model to detect defects in soldered components on a Printed Circuit Board.
Model
Pre-trained FAN weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
Model
Pre-trained deformable_detr weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
Model
BEVFusion model to detect 3D objects from point cloud and RGB data.
Model
Pose classification network to classify poses of people from their skeletons.
Model