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 42 results
NVIDIA Developer Program
NVIDIA
NVIDIA
NV-CLIP
NV-CLIP NIM microservice for multimodal embeddings model for image and text
Container
Video Storage Toolkit (VST) is microservice for efficient management of cameras and videos
Container
Pretrained weights to facilitate transfer learning using TAO Toolkit.
Model
Detect body pose from an image.
Model
Resnet18 model to classify a car crop into 1 out 6 car types.
Model
DeepStream based perception service that takes in streaming video data and performs object detection and tracking
Container
Resnet18 model to classify a car crop into 1 out 20 car brands.
Model
Grounding Dino enables open vocabulary object detection supporting limitless category of objects
Container
Sample notebooks for TAO Toolkit Computer Vision workflows.
Resource
Pretrained weights to facilitate transfer learning using TAO Toolkit.
Model
1 class object detection network to detect faces in an image.
Model
Generate time-series insights for the physical spaces based on perception metadata.
Container
Detect faces from an image.
Model
Model to recognize characters from the image crop of a License Plate.
Model
Container for AI Analytics API service
Container
AI Inference Service for using VLM (visual language model) on streaming video for greater contextual understanding and natural language interaction
Container
Provides natural language interfaces for performing video summarization
Container
RT-DETR object detection model for 2D warehouse applications
Model
Pretrained weights to facilitate transfer learning using Transfer Learning Toolkit.
Model
Nvidia Sample CV Event Detector Microservice for detecting events for VSS Event Reviewer workflow.
Container
AI Inference service to perform zero-shot (open vocabulary) object detection of any objects on streaming video data
Container
PipeTuner is an automatic tuning tool that efficiently explores the parameter space and finds the optimal parameters for the pipelines, which yields the highest KPI on the dataset provided by the user. PipeTuner containers can be pulled here.
Container
Pretrained weights to facilitate transfer learning using TAO Toolkit.
Model
Detect fiducial keypoints from an image of a face.
Model

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