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
5
3
1
NVIDIA NIM
NVIDIA NIM
1
NIM Container GPUs
NIM Container GPUs
Use Case
Use Case
10
3
NVIDIA Platform
NVIDIA Platform
4
Industry
Industry
5
Solution
Solution
13
10
Publisher
Publisher
49
18
10
1
1
Policy
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
Pre-trained SegFormer weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
Model
Open vocabulary multi-modal instance segmentation model trained on commercial data.
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
Pre-trained DINO weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
Model
Binary instance segmentation model trained on COCO data.
Model
NVIDIA Developer Program
NVIDIA
NVIDIA
Riva NIM
Riva NIM Helm Chart
Helm Chart
Pre-trained FAN weights trained on NVImageNet to facilitate transfer learning using TAO Toolkit.
Model
The Pre-Flight Check container verifies that the container runtime is setup correctly for GPUs and InfiniBand.
Container
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

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.