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

What happened

Simulacra AI uses Nebius distributed GPU compute to pre-train large wavefunction models that combine ab initio quantum chemistry with deep learning. The models generate high-accuracy molecular property datasets for drug and material discovery.

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

Simulacra AI built its own distributed AI framework with support for:

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 passage quoted aboveCheckedCopied word for word from the page, near the name of Simulacra AI.
  • Simulacra AI 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 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