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NVIDIA Data Science Workbench

Productivity for Data Science Workstations

Master Your Data Science Environment

Simplify your data science development environment and maximize productivity with NVIDIA^®Data Science Workbench. Workbench puts key assets, like containers from the NVIDIA NGC^™ catalog, automatic software updates, and dockerized GitHub content, within a click’s reach. Finally, users have fast and convenient access to a plethora of data science tools. Easily reproduce content, access containerized solutions, utilize multiple CLIs, get news and events and more.

A completely revised Workbench release is planned. To learn more, watch the GTC session “A Path to Democratized Data Science in Any Cloud”.

Features and Benefits

NVIDIA Data Science Workbench improves manageability, reproducibility, and usability for data scientists, data engineers, and AI developers, and is easily pip-installed, ensuring that you have the latest GPU-optimized software for workstations. Assets for developers are easily accessed and updates happen over-the-air.

Learn more about Workbench features and benefits ›

Easier Manageability

Effortlessly manage your data science software environment
Auto-install and manage software stack versions
Access the best GPU-optimized frameworks for maximum productivity
Automatically stay current on blogs, news, and events via a curated RSS feed

Greater Reproducibility

Easily dockerize GitHub content for experimentation
Quickly reproduce assets for your Jupyter environment
Build models faster from state-of-the-art examples.

Increased Productivity

Notify and one-click install NGC containers, DSS, CUDA-X, and drivers
Single-click to Jupyter notebook and key software assets
Get AWS, NGC, Kaggle, and DSS CLIs for advanced local and remote clustered use cases

How To Get Started

Increase AI productivity and simplify your data science software environment today with NVIDIA Data Science Workbench. NVIDIA-Certified workstations are recommended for data science workloads.

Get Started