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 AI Enterprise
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Displaying 13 results
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
Container
NVIDIA Developer Program
Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
Container
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
Container
NVIDIA AI Enterprise
NVIDIA RAPIDS Production Branch October 2025 (PB 25h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
Container
NVIDIA AI Enterprise
NVIDIA RAPIDS Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
Container
NVIDIA AI Enterprise
The NVIDIA RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science, machine learning and analytics pipelines entirely on GPUs.
Container
NVIDIA AI Enterprise
NVIDIA RAPIDS Production Branch May 2025 (PB 25h1) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
Container
NVIDIA AI Enterprise
NVIDIA RAPIDS Production Branch 6 (PB6) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
Container
This sample code is a ready-to-use Jupyter notebook that shows a multi-node, multi-GPU NVIDIA RAPIDS application running on a Dask cluster.
Resource
Download pre-configured setup files to launch and train a Taxi Fare Prediction model with RAPIDS using Dask on AzureML using the NGC-AzureML Quick Launch Toolkit
Resource
NVIDIA AI Enterprise
NVIDIA cuVS is an open source library for GPU-accelerated vector search and data clustering that enables faster vector searches and index builds.
Resource
Collection
This collection contains performance-optimized Deep Learning frameworks.
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Notebooks demonstrating GPU-accelerated analysis of single-cell sequencing data
Resource

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