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14ba547
docs: simplify big number block introduction
Haleshot Aug 28, 2026
d4c568c
docs: clean up bigquery-oauth prose
Haleshot Aug 28, 2026
72fcd81
docs: clean up billing-alerts-and-limits prose
Haleshot Aug 28, 2026
b105d8f
docs: clean up chart-blocks prose
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7e4db15
docs: clean up conda-environment prose
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ce950b2
docs: clean up converting-notebooks prose
Haleshot Aug 28, 2026
67d9f04
docs: clean up custom-environment prose
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bb21990
docs: replace en dash in data app guide
Haleshot Aug 28, 2026
9d654fb
docs: rewrite data catalog guide
Haleshot Aug 28, 2026
4289585
docs: remove decorative emoji from dbt
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6777d72
docs: clean up deepnote-agent prose
Haleshot Aug 28, 2026
0927316
docs: clean up deepnote-ai prose
Haleshot Aug 28, 2026
5e44c93
docs: clean up deepnote-file-sync prose
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d668ebc
docs: clean up deepnote-first-steps prose
Haleshot Aug 28, 2026
2109607
docs: clean up deepnote-mcp prose
Haleshot Aug 28, 2026
8b385ff
docs: remove decorative emoji from deploying-machine-learning-models
Haleshot Aug 28, 2026
d16a70d
docs: remove decorative emoji from deprecating-personal-workspaces
Haleshot Aug 28, 2026
dd710e3
docs: replace double hyphen in Docker Hub guide
Haleshot Aug 28, 2026
9c22101
docs: clean up edu-overview prose
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19943d8
docs: rewrite ETL and ELT pipeline guide
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b2e93a9
docs: clean up export-pdf prose
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ef1f328
docs: tighten getting started copy
Haleshot Aug 28, 2026
d211e00
docs: clean up git-export prose
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7418c3a
docs: remove decorative emoji from google-drive
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4a605d4
docs: clean up history prose
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6fb46ad
docs: tighten docs landing page
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4c7b860
docs: clean up individual-assignments prose
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d717120
docs: clean up input-blocks prose
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6c59f54
docs: remove decorative emoji from integrations
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13a8f94
docs: clean up ipywidgets-in-deepnote prose
Haleshot Aug 28, 2026
1b0438d
docs: remove emoji from shortcut headings
Haleshot Aug 28, 2026
bd99308
docs: label URL Encoder link
Haleshot Aug 28, 2026
fe4d340
docs: clean up lectures prose
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c827a4a
docs: remove decorative emoji from local setup
Haleshot Aug 28, 2026
f570616
docs: clean up long-running-jobs prose
Haleshot Aug 28, 2026
19ee4da
docs: remove emoji from conversion lists
Haleshot Aug 28, 2026
12eefa8
docs: clean up modules prose
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6270c27
docs: remove emoji from notebook headings
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521d453
docs: clean up pricing prose
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9400ae7
docs: clean up projects prose
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d23935d
docs: remove decorative emoji from real-time-collaboration
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362c120
docs: clean up run-snapshots prose
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ba15545
docs: clean up scheduling prose
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ba13ea9
docs: clean up securing-connections prose
Haleshot Aug 28, 2026
3221170
docs: rewrite security overview
Haleshot Aug 28, 2026
e828466
docs: replace en dash in sharing guide
Haleshot Aug 28, 2026
63618a9
docs: clean up snowflake-oauth prose
Haleshot Aug 28, 2026
e5fdfff
docs: clean up snowflake-with-azure-ad prose
Haleshot Aug 28, 2026
ed0aaeb
docs: clean up snowflake-with-okta prose
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674ce3b
docs: clean up snowpark prose
Haleshot Aug 28, 2026
35076b8
docs: replace en dash in support guide
Haleshot Aug 28, 2026
a1eef8f
docs: tighten teacher guide
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ca29df1
docs: replace en dash in permissions guide
Haleshot Aug 28, 2026
5ac3a64
docs: clean up telegram prose
Haleshot Aug 28, 2026
7b3b8a9
docs: clean up text-editing prose
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26fa90f
docs: remove decorative emoji from training-machine-learning-models
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6ad745f
docs: clean up workspaces prose
Haleshot Aug 28, 2026
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docs: clean up long-running-jobs prose
Signed-off-by: Srihari Thyagarajan <hari.leo03@gmail.com>
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Haleshot committed Aug 28, 2026
commit f5706165c90b2525a32acf7aead6168dc79fc7ea
4 changes: 2 additions & 2 deletions docs/long-running-jobs.md
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ Deepnote is designed to support most data analysis workflows, many of which incl

### What it means for Deepnote to turn off the hardware for a project

Simplifying a little bit, Deepnote has many machines (computers) running in the cloud (pods in a Kubernetes cluster if you want the real jargon). When you start the hardware in your project, we turn on one of these machines for you and run all your computations there. Once you're done with your computations, we turn off this machine for you just like you would turn off your own laptop at the end of your workday. Unlike with your laptop though, you can view the notebooks and files in your project even while the hardware for your project is turned off – you only need running hardware to execute computations. We automatically start this hardware whenever you start any execution in your project (e.g. when you run a block).
Deepnote has many machines running in the cloud, or pods in a Kubernetes cluster. When you start the hardware in your project, we turn on one of these machines and run your computations there. Once you're done, we turn off the machine as you would turn off your laptop at the end of your workday. You can still view the notebooks and files in your project while its hardware is off. You need running hardware only to execute computations. We start the hardware when you run a block or start another execution in your project.

After the hardware for your project is turned off, we store the outputs of cells, but the values of variables are removed from the running environment and may be restored if the restore option is available.

Expand All @@ -32,7 +32,7 @@ Deepnote may turn off machines automatically for the following reasons:
2. **There were no changes to the code or any execution for at least 15 minutes.** This maximum idle time is [customizable](/docs/long-running-jobs#custom-inactivity-grace-period) for projects in teams with a Team plan or higher.

<Callout status="info">
📖 **Example:** Bob is running a data analysis that takes 12 hours to complete. He starts the analysis and then closes Deepnote for the night. He comes back in the morning just before the analysis is complete and finds his notebook with all his variables is still live. Bob does some ad-hoc exploration and then goes to lunch with the notebook idle. After he comes back, he can still see all his outputs, but the variables and all other runtime objects are gone as the above conditions were met and the hardware for his project was turned off.
**Example:** Bob is running a data analysis that takes 12 hours to complete. He starts the analysis and then closes Deepnote for the night. He comes back in the morning just before the analysis is complete and finds his notebook with all his variables is still live. Bob does some ad-hoc exploration and then goes to lunch with the notebook idle. After he comes back, he can still see all his outputs, but the variables and all other runtime objects are gone as the above conditions were met and the hardware for his project was turned off.
</Callout>

#### Inactivity grace period
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