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How xAID uses Nebius AI Cloud

0.86

macro F1 score on the five acute conditions most

As published on nebius.com. Checked by usedby on Oct 17, 2026.

What happened

xAID trains a large 3D transformer foundation model for AI-assisted medical imaging on Nebius AI Cloud, using chest and abdominal CT scans. Training runs on H100 GPUs and last several days per cycle, and the company relies on the platform for uninterrupted compute and MLOps support.

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

  • 70-90%“GPU utilization can fluctuate, but xAID’s strategy kept it within a 70-90% range to make every GPU hour count.”

With five days per epoch training on noisy clinical data, xAID relied on Nebius AI Cloud for consistent, high-performance computing, eliminating the risk of unexpected interruptions or infrastructure bottlenecks.

From the page. nebius.com

What the story claims, and what we checked

What we compared with the page.

  • The figure: 0.86CheckedThe figure is on the page; its label is our wording.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of xAID.
  • The numbers in our summaryCheckedEach one is printed on the page.
  • xAID uses Nebius AI CloudCheckedConfirmed line.
  • The result itselfNot checkedWe quote it; we did not measure it.

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