# How Helical uses Nebius AI Cloud

**10 days**: “expedited the 500-million-parameter model base pre-training in just 10 days”

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

- Company: [Helical](https://www.usedby.ai/companies/helical.md)
- Tool: [Nebius AI Cloud](https://www.usedby.ai/tools/nebius.md)

## What the story says

Helical uses Nebius AI Cloud GPU clusters to pre-train and post-train its Helix-mRNA foundation model, which supports virtual experimentation for pharma and biotech drug discovery. It runs distributed training and specialization runs on the platform.

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

> By easily deploying 16 GPUs in Nebius AI Cloud, the company expedited the 500-million-parameter model base pre-training in just 10 days.

- **36 hours**: “Completed in just 36 hours each on Nebius AI-centric Cloud, these specialization runs enable Helix’ quick adaptation to new datasets.”
- **146%**: “increasing predictive accuracy by 146% for paired mRNA-ribosome measurements”
- **52.5%**: “delivering a 52.5% more precise mRNA half-life correlation”

## What usedby checked

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

- Checked: the figure 10 days is printed word for word on the page, near the name of Helical.
- Checked: the passage quoted above is copied word for word from the page, near the name of Helical.
- Checked: Helical 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.

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