# How Quantori uses Nebius AI Cloud

**2.1 seconds** average generation time per molecule

As published on [nebius.com](https://nebius.com/customer-stories/quantori). Captured by usedby on 2026-10-07.

- Company: [Quantori](https://www.usedby.ai/companies/quantori.md)
- Tool: [Nebius AI Cloud](https://www.usedby.ai/tools/nebius.md)
- Teams: cheminformatics

## What the story says

Quantori's cheminformatics team trains an equivariant diffusion model on a Nebius GPU cluster to generate molecules whose 3D shapes resemble a reference structure. A pre-trained Structure Seer model then predicts the bonds for the generated atom coordinates.

Summary written by usedby from the source page, in English. The figures are those of Nebius AI Cloud and Quantori, not ours.

> The quick provisioning and easy configuration of these resources enabled Quantori to set up training and evaluation with minimal effort, while the GPU capacity allowed training on a dataset containing 1.6 million compounds, ultimately leading to better model quality.

- **1.6 million**: “the GPU capacity allowed training on a dataset containing 1.6 million compounds”
- **13.5 days**: “After 1,500 epochs (about 13.5 days) of training”
- **8 NVIDIA H200 GPUs**: “using a cluster on the Nebius cloud equipped with 8 NVIDIA H200 GPUs”

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 2.1 seconds is on the page; its label is our wording.
- Checked: the passage quoted above is copied word for word from the page, near the name of Quantori.
- Checked: each number in our summary is printed on the page.
- Checked: Quantori uses Nebius AI Cloud. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

---
Source: https://www.usedby.ai/case-studies/quantori-nebius · How we check: https://www.usedby.ai/methodology