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10 days

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

As published on nebius.com. Captured by usedby on Oct 7, 2026.

What happened

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.

  • 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”

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

From the page. nebius.com, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: 10 daysCheckedPrinted word for word on the page, near the name of Helical.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Helical.
  • Helical uses Nebius AI CloudCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

23%“a 23% improvement in total cost of ownership (TCO) compared to the previous cloud deployment”Antioch uses Nebius AI Cloud. Another customer of Nebius AI Cloud7,000 hourscompute hours to train Converge-SCConverge uses Nebius AI Cloud. Another customer of Nebius AI Cloud$200M“Scaled from zero to $200M in run rate in just nine months”Higgsfield uses Nebius AI Cloud. Another customer of Nebius AI Cloud