5/ Watch our 2-minute walk-through to find out more:

loom.com/share/df4a01...

4/ You can also access an easy-to-use runtime manager where you can “Terminate Runtime” to avoid wasting resources and keep your credit for more important tasks.

3/ You can open any notebook in the Datalayer library, or create a new one without leaving the app (while everything is being synced up in the cloud).

2/ We built an Electron client on top of the latest Datalayer SDK. You can add your API token and log in to access AI agent, remote runtime, rich editor, and more.

7/ It’s all in the Datalayer platform for biologists and researchers of all fields.

Read out full blog post to see how to set up Datalayer: medium.datalayer.blog/jupyter-note...

6/ Having visuals, text, and code all in a notion-style editor.

5/ Having an AI agent, writing code snippets, loading datasets, visualising notebooks, and summaries for you.

4/ Having access to cloud GPU/CPUs in one click directly from your local pc/dev environment.

3/ Having your dataset into one workspace, easily uploaded/inserted.

2/ Imagine:

6/ Check out our full blog-post: medium.datalayer.blog/the-ultimate...

5/ Test it out for yourself: datalayer.ai (you’ll get 50 free credits to explore the platform)

4/ It’s powered by Model Context Protocol, so it understands your code, data, and notes and gives smart suggestions while keeping you in loop.

3/ That’s Datalayer LOOP - a single workspace where you can:

- Modify docs with prompts
- Add code blocks instantly
- Summarize results
- Create clean docs
- Scale to cloud GPUs
- Work with your team in real time