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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 23 results

DeepStream SDK delivers a complete streaming analytics toolkit for AI based video and image understanding and multi-sensor processing. This container is for NVIDIA Enterprise GPUs.
Container
DeepStream SDK delivers a complete streaming analytics toolkit for real-time AI based video and image understanding and multi-sensor processing. This container is for NVIDIA Jetson platform.
Container
DIGITS
NVIDIA
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists.
Container
Resnet18 model to classify a car crop into 1 out 6 car types.
Model
Resnet18 model to classify a car crop into 1 out 20 car brands.
Model
DeepStream SDK delivers a complete streaming analytics toolkit for AI based video and image understanding and multi-sensor processing. This container is for NVIDIA Enterprise GPUs.
Container
Text Classification with BERT and NeMo. This NeMo application trains text classification models using single-GPU or multi-GPU. We log performance metrics and visualize them with TensorBoard. We show how to do inference with NeMo, and we visualize BERT embeddings before and after fine-tuning.
Container
Domain classification of the query for weather chat bot.
Model
A pre-trained model for the endoscopic inbody classification task.
Model
A pre-trained model for Nuclei Classification within Haematoxylin & Eosin stained histology images.
Model
A simultaneous segmentation and classification of nuclei within multitissue histology images based on CoNSeP data.
Model
End to End sample workflow for Text Classification starting with training in TAO Toolkit and deployment using Riva.
Resource
Intent and Slot classification of the queries for the misty bot with DistilBert model trained on weather, smalltalk and POI (places of interest) data.
Model
Intent and Slot classification of the qeuries for the weather chat bot (trained on weather chat bot data).
Model
End to End sample workflow for N Gram language model starting with training in TAO Toolkit and deployment using Riva.
Resource
End to End sample workflow for Token Classification starting with training in TAO Toolkit and deployment using Riva.
Resource
Intent and Slot classification of the qeuries for the weather chat bot (trained on weather chat bot data).
Model
Intent and Slot classification of the queries for the misty bot with DistilBert model trained on weather, smalltalk and POI (places of interest) data.
Model
Intent and Slot classification of the queries for the misty bot with DistilBert model trained on weather, smalltalk and POI (places of interest) data.
Model
Intent and Slot classification of the queries for the misty bot with BERT model trained on weather, smalltalk and POI (places of interest) data.
Model
Domain classification of the query for weather chat bot.
Model
Jupyter Notebook for training with TAO using Omniverse Replicator sythetic data generated on Rendered.ai.
Resource
This collection contains NeMo models for Automatic Speech Recognition (ASR): Speech to Text, Speech Classification, Speaker Diarization, Speaker Verification, Speaker Recognition, Command Recognition, Voice Activity Detection
Collection
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