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How Recraft uses Nebius AI Cloud

~6x

“These adjustments made the network 4x faster, leading to a ~6x increase in training speed.”

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

What happened

Recraft trained its text-to-image foundation model from scratch on Nebius, using Managed Kubernetes with Kubeflow and PyTorch for distributed GPU training. Nebius engineers and solution architects helped resolve network and hardware issues during training.

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

After the initial problems were solved, Recraft noticed the training process was very slow, operating at an 8x slower rate than in an ideal scenario where the network is not a bottleneck.

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

Nebius stands out when compared to other clouds, especially if you’re looking for flexibility and quick support. On the scalability front, they always have GPUs available, so no frustrating delays waiting for quotas. The storage speed on Nebius is also higher in comparison to some other clouds. Nebius offers more control, better support and reliable scalability compared to some other clouds.

Anna Veronika Doroqush, Founder and CEO, Recraft. Source, captured Oct 7, 2026

If you have simple code, you can switch to the new GPUs without doing anything special,

Pavel Ostyakov, Head of AI at Recraft, Recraft. Source, 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: ~6xCheckedPrinted word for word on the page, near the name of Recraft.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Recraft.
  • Recraft 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.

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