AI Agentic Data Analysis (Jupyter + SSH Service)

Data collected in ARIM-mdx Nextcloud can be analyzed through ARIM-mdx Jupyter. It also supports long-running autonomous execution by AI agents. ARIM-mdx Jupyter provides:

• Jupyter Lab : Interactive data analysis, e.g., visualization

• VSCode : Software development

• MateriApps LIVE! (Remote Desktop): All-in-one software package for materials sciecne

Jupyter Initial Setup

Jupyter-Nextcloud integration is required as initial setup. Please refer to C. Jupyter Initial Setup for details.

Logging into Jupyter

Log in to ARIM-mdx Jupyter service (https://jupyter.arim.mdx.jp).

Starting Jupyter Server

Select a server and click Start to launch. Below are the server types for different purposes.

Type	Description
Jupyter / VSCode / Remote Desktop	Environment including Remote Desktop (MateriApps LIVE!)
Jupyter / VSCode Only	Environment with only JupyterLab and VSCode

Type	Specifications	Description
Default	16 vCPUs, 24GB memory	Standard computing environment
High Spec	32 vCPUs, 48GB memory	High-performance PC equivalent
Max Spec	64 vCPUs, 96GB memory	High-performance server equivalent

Note

Starting Jupyter may take up to several minutes.

Starting Jupyter VSCode

Select VSCode from the Launcher to start.

VSCode will launch.

Starting MateriApps LIVE! on Jupyter Remote Desktop

Select Remote Desktop from the Launcher to start.

MateriApps LIVE! on Jupyter Remote Desktop will launch.

SSH Access

ARIM-mdx Jupyter also accepts direct SSH connections.

Note

The web interface at https://jupyter.arim.mdx.jp remains the primary way to use ARIM-mdx Jupyter. SSH is an optional additional path.

Prerequisites for SSH

1. Complete the Jupyter initial setup (see C. Jupyter Initial Setup).

2. Start a Jupyter server from the web UI — the SSH endpoint is tied to your running Jupyter server.

3. Generate an SSH keypair on your local machine if you do not already have one:

   ssh-keygen -t ed25519
   

4. Append the public key (~/.ssh/id_ed25519.pub) to ~/.ssh/authorized_keys on the Jupyter server:

   echo "<your public key>" >> ~/.ssh/authorized_keys
   

SSH Connection Information

Item	Value
Host	<TODO: hostname, e.g. ssh.jupyter.arim.mdx.jp>
Port	<TODO: port>
Username	<TODO: username format>
Authentication	SSH public key (password authentication is disabled)

Connecting with VSCode Remote-SSH

1. Install the Remote - SSH extension in VSCode.

2. Add the following entry to your local ~/.ssh/config (replace the <TODO: ...> values):

   Host arim-jupyter
       HostName <TODO: hostname>
       Port <TODO: port>
       User <TODO: username>
       IdentityFile ~/.ssh/id_ed25519
   

3. Open the Command Palette in VSCode and run Remote-SSH: Connect to Host…, then select arim-jupyter.

Connecting from Terminal

Use a standard ssh command:

ssh <TODO: username>@<TODO: hostname> -p <TODO: port>

File Transfer (SFTP / scp)

Upload a local file to your Jupyter home directory:

scp -P <TODO: port> ./local-file.csv <TODO: username>@<TODO: hostname>:~/

Download a file from your Jupyter home directory:

scp -P <TODO: port> <TODO: username>@<TODO: hostname>:~/output.csv .

Interactive SFTP session:

sftp -P <TODO: port> <TODO: username>@<TODO: hostname>

Files transferred here are visible from inside the Jupyter server at the same path.