Cómo usa Recraft Nebius AI Cloud
~6x
“These adjustments made the network 4x faster, leading to a ~6x increase in training speed.”
Tal como se publicó en nebius.com. Capturado por usedby el 7 oct 2026.
Qué pasó
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.
Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de Nebius AI Cloud y de Recraft, no nuestras.
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.
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.
If you have simple code, you can switch to the new GPUs without doing anything special,
Lo que dice la historia, y lo que verificamos
Comparamos la historia con su página en línea el 7 oct 2026.
- La cifra: ~6xVerificadoImpresa palabra por palabra en la página, cerca del nombre de Recraft.
- El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Recraft.
- Recraft usa Nebius AI CloudVerificadoLínea de nivel Confirmado. Última verificación entre todas las fuentes: 7 oct 2026.
- El resultado en síNo verificadoLo citamos; no lo medimos.
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