# How Recraft uses Nebius AI Cloud

As published on [nebius.com](https://nebius.com/customer-stories/recraft-v4). Captured by usedby on 2026-10-07.

- Company: [Recraft](https://www.usedby.ai/companies/recraft.md)
- Tool: [Nebius AI Cloud](https://www.usedby.ai/tools/nebius.md)

## What the story says

Recraft trains and runs inference for its Recraft V4 image generation foundation model on an NVIDIA HGX B200 cluster in Nebius AI Cloud, having migrated from Hopper-based GPUs with minimal code changes.

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

> The transition from NVIDIA Hopper to NVIDIA Blackwell was straightforward for Recraft. Their PyTorch-based software stack was compatible with NVIDIA containers, which provide precompiled libraries that work out of the box.

> 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

> If you have simple code, you can switch to the new GPUs without doing anything special,
>
> Pavel Ostyakov, Head of AI at Recraft

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the passage quoted above is copied word for word from the page, near the name of Recraft.
- Checked: each number in our summary is printed on the page.
- Checked: Recraft uses Nebius AI Cloud. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/recraft-nebius · How we check: https://www.usedby.ai/methodology