Skip to main content
usedby
Prima MentewithNebius AI Cloud

How Prima Mente uses Nebius AI Cloud

ConfirmedVendor case study · Checked Oct 7, 2026
View captured proof

The use case: how Prima Mente deploys Nebius AI Cloud

Prima Mente trains large biological foundation models (the Pleiades series) on methylation and other multi-omic data using a reserved multi-node GPU cluster on Nebius. The cluster supports long pre-training runs and experiments as the team scales model size.

More reported results

Figures published in Nebius AI Cloud’s case study. They are not independently measured by usedby.

10x

low-level optimizations resulted in a 10x scale-up of Prima Mente's ablation model from 1B to 10B parameters in just a few weeks

1.19 million tokens/s

processing 1.19 million tokens/s on 16 nodes

In the customer’s words

Having a partner like Nebius that helps us move faster without downtime means we can shorten training cycles,
Luca Giacomoni, lead AI engineer, Prima Mente — Source

Nebius AI Cloud users in Biotech & Pharma

Companies in the same sector, with public evidence.

ConvergeConfirmedTrialHubConfirmedBasecamp ResearchObserved
See all Nebius AI Cloud customers

More stories

Go straight to the source

Based on Nebius AI Cloud’s published case study. We check the public evidence; the results are reported by the vendor.

nebius.com
Last checked
Oct 7, 2026
nebius.comCaptured Nebius AI Cloud case study about Prima MenteOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The figure: 12%Checked

    The figure is on the page; its label is our wording.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of Prima Mente.

  • Prima Mente uses Nebius AI CloudChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

With a 32-GPU reserved cluster in Nebius, Prima Mente amped up pre-training throughput by 12%, processing 1.19 million tokens/s on 16 nodes, a critical step in their goal toward scaling model size from 7B up beyond 100B parameters.
From the page. nebius.com