Managed DataLab · on Kubernetes

Your data lab, ready to set sail

Persistent JupyterLab environments with guaranteed resources, storage that never gets wiped and backups. Start, freeze and resume whenever you want — without fighting infrastructure.

Demo: [email protected] / aqualab-demo

notebookhub · scipy-notebook
import xarray as xr
ds = xr.open_dataset("batimetria.nc")
ds.depth.plot(cmap="ocean")
# → 4 vCPU · 32 GB · persistent disk
Active/i/mi-lab/

The same old problem

Setting up environments takes hours

Installing Python, GDAL, PyTorch and making it all reproducible eats a whole afternoon… every single time.

Colab is not always enough

Private data, real persistence and close support do not fit well into ephemeral cloud notebooks.

GPUs are expensive and hard

Managing hardware, drivers and quotas is a pain. You should be writing code, not fighting infra.

The solution: NotebookHub

A simple panel to create, freeze, restart and delete persistent notebooks. We run the cluster; you focus on your data.

  • Persistent JupyterLab, ready in minutes
  • 100% dedicated, guaranteed CPU, RAM and disk (never shared)
  • Persistent storage that survives shutdown
  • Backups and snapshots ready
  • Python / R / GDAL / PyTorch environments
  • Optional GPU (coming soon)

Plans

Guaranteed resources. Switch whenever you want.

Starter

For exploring and prototyping

~US$16/mo
  • 1 vCPU
  • 8 GB RAM
  • 50 GB persistent disk
  • 1 notebook
Get started
Popular

Pro

For serious projects

~US$41/mo
  • 2 vCPU
  • 16 GB RAM
  • 100 GB disk
  • Up to 3 notebooks
Get started

Team

For data teams

~US$104/mo
  • 4 vCPU
  • 32 GB RAM
  • 200 GB disk
  • Up to 8 notebooks
Get started

Every plan includes 100% dedicated, guaranteed resources — you never share CPU or RAM with anyone, and your disk is persistent.

Prices are approximate USD equivalents — billed in CLP (Chilean pesos).

GPU add-on — NVIDIA acceleration for deep learning.Coming soon

Built as a technical product

Real infrastructure, not a demo.

Real Kubernetes

Every notebook is an isolated workload with guaranteed requests and limits. No noisy neighbors.

Persistent storage + backups

Your disk lives on a persistent volume. Freeze without losing data; snapshots and object-storage backups are ready.

Per-user isolation

Unprivileged pods, no root, no Docker inside. Every resource is labeled and ownership-checked.

Support in Spanish and English

Locally managed infrastructure with close, human support. Write to us and real people answer.

Set sail with your first DataLab today

Create your demo account, spin up a persistent notebook and feel it work.