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2 changes: 0 additions & 2 deletions environment-setup/setup-guide.mdx
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Expand Up @@ -7,8 +7,6 @@ description: "Detailed walkthrough for deploying a tracebloc workspace — requi

Everything the installer does, explained. This page walks through the full setup process — what each step does, what to expect, and how to verify it worked.

Looking for the short version? See [Quick Setup](/getting-started/quick-setup).

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## Requirements
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1 change: 0 additions & 1 deletion join-use-case/overview.mdx
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Expand Up @@ -6,7 +6,6 @@ sidebar_position: 0

tracebloc is an AI workspace where you can train and evaluate models on datasets you never directly access. The data stays with the data owner, your code runs on their infrastructure, and a leaderboard ranks every submission side by side.

![tracebloc workflow: models are sent from your local Jupyter notebook to the data owner's secure infrastructure for training and evaluation](images/tracebloc-workflow-overview.png)

Here is how it works, step by step.

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