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Welcome to NimbleBox Docs

Discover our guides and tutorials to build your MLOps pipeline. This documentation helps you to build ML models on powerful GPUs, Deploy your best ML models with supported extensions like PyTorch, Tensorflow, and Haiku, Get more done in less time by using jobs to automate your repeated tasks, Collaborate with the members of your team in one place, your workspace.

Ready to dive in?Get up and running your first model on NimbleBox with quickstart
Quick Start
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Looking for our SDK docs?Unlock endless possibilities with our powerful SDK, giving you access to a vast library of APIs and packages
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NimbleBox Basics

Learn about NimbleBox basic features and kickstart your workspace

WorkspaceInvite your team, assign roles and create groups
BuildQuickly launch and train ML models with powerful GPUs and IDEs.
DeployEfficiently deploy and scale your ML models in production
JobsAutomate redundant tasks and schedule runs to save time.
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Follow along examples to get started with NimbleBox

UsecasesLearn how to use


GlossaryExpertly crafted glossary of essential terms and their meanings
FAQsGet instant answers to the most frequently asked questions about
nbox SDKnbox provides built in access to all the APIs and packages them in the most user friendly manner.Star 0