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7,000 hours

compute hours to train Converge-SC

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

What happened

Converge Bio trained Converge-SC, a transformer-based foundation model for single-cell RNA sequencing data, on Nebius infrastructure. The model processes the full transcriptome per cell and supports patient-level analysis for drug discovery.

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

To develop a model of this scale, Converge Bio required an AI infrastructure provider that could handle massive computational demands reliably and efficiently.

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: 7,000 hoursCheckedThe figure is on the page; its label is our wording.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Converge.
  • Converge 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 Cloud10 days“expedited the 500-million-parameter model base pre-training in just 10 days”Helical 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