MistCloud
USE CASE / RESEARCH

Compute for the run, not the year.

Start large shapes for the analysis, keep the dataset on volumes, and shut the compute down when the run is done. The data stays in the country.

Compute
On demandshut down when the run ends
Datasets
Volumeskept apart from compute
Residency
KGL1for ethics and partner rules
What changes

What the grant pays for.

Research budgets buy results, not machines that sit idle between studies.

Hardware

Before

A workstation bought for one study, idle the rest of the year.

Here

Large shapes for the run, shut down when it ends.

Ethics approval

Before

Data that cannot leave the country, on a cloud outside it.

Here

Datasets kept in Rwanda for ethics boards and partner agreements.

Losing work

Before

Results on one laptop.

Here

Volumes and snapshots that outlive the server.

What you run here

The parts of MistCloud this uses.

How it starts

Three steps in.

  1. Load the dataset onto a volumeData lives apart from the server that reads it.
  2. Run on a larger shapeAttach the volume and start the analysis.
  3. Snapshot and shut downKeep the results, stop the compute.
Questions

What researchers ask us.

All questions

In Kigali, on hardware we operate, inside Rwanda. Nothing is mirrored abroad unless you turn on a cross-region replica yourself.

Researchers

Plan the next run.

Tell us the dataset, the timeline and the residency rules you work under.

Talk to an operator
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