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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 20 results

meta-llama-2-70b-chat
NVIDIA
NVIDIA NIM for GPU accelerated Llama 2 70B inference through OpenAI compatible APIs
Container
Isaac Sim
NVIDIA
NVIDIA Isaac Sim™ is a robotics and AI simulation application framework built on NVIDIA Omniverse™. Isaac Sim has essential features for building virtual robotic worlds and experiments.
Container
PyG
NVIDIA
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.
Container
AlphaFold2-Multimer
Google
A widely used model for predicting the 3D structures of proteins from their amino acid sequences. This version of the container supports multimers, i.e. proteins made up of 2 or more polypeptide chains.
Container
Foundational Flywheel Server
NVIDIA
Turn workload evaluation and optimization requests into a fully automated, end-to-end workflow across many specialized micro-services with the Flywheel orchestrator control-plane service.
Container
MAISI NIM
NVIDIA
MAISI NIM generated high-quality synthetic CT images with or without anatomical annotations.
Container
attribute-verification-checker
NVIDIA
Attribute Verification Checker Container
Container
hallucination-checker
NVIDIA
Hallucination Checker Container
Container
arbitrator
NVIDIA
Arbitrator Container
Container
objects-checker
NVIDIA
Objects Single View Checker Container
Container
database
NVIDIA
Database REST API Container
Container
NVIDIA Data Flywheel Blueprint
NVIDIA
Deploy the NVIDIA Data Flywheel Foundational Blueprint on Kubernetes using Helm charts for scalable, production-ready environments.
Helm Chart
database-postgres
NVIDIA
Postgres Database Container
Container
physical-plausibility-checker
NVIDIA
Physical Plausibility Checker Container
Container
Nemotron-4-340B-Base
NVIDIA
Nemotron-4-340B-Base
Model
TAO with Synthetic Data
Rendedred.ai
Jupyter Notebook for training FasterRCNN with Rendered.ai user generated datasets.
Resource
TTS En FastPitch SpectrogramEnhancer For-ASR-Finetuning
NVIDIA
This collection contains FastPitch and Spectrogram Enhancer models. Main use case is English ASR domain fine-tuning. Direct TTS use is not advised.
Model
Consistency Distilled Synthetic Protein Database
NVIDIA
This resource consists of the Consistency Distilled Dataset used for Proteina-Atomistica model training.
Resource
Cosmos World Foundation Models
NVIDIA
Cosmos World Foundation Models: A family of highly performant pre-trained world foundation models purpose-built for generating physics-aware videos and world states for physical AI development.
Collection
Proteina-Atomistica
—
This collections consists of the training data for the Proteina-Atomistica all-atom protein structure generative model.
Collection
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