99%
“With Anyscale, we were able to unify it into one model and reduce the cost by 99%”
Tal como se publicó en anyscale.com. Capturado por usedby el 7 oct 2026.
Qué pasó
Attentive uses Anyscale as its AI compute platform to train and serve machine learning models for personalized marketing, replacing a self-managed Kubernetes setup. Models are migrated one at a time, using Ray-based data processing, training and serving on a single platform.
Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de Anyscale y de Attentive, no nuestras.
- 5x“5x reduction in training time”
- 50x“50x increase in number of customers supported by models”
- 3 days“3 days to onboard engineers to 1st Anyscale Workspace”
- 12x“Able to process 12x more data”
Before Anyscale, we didn’t have the ability to consolidate our data into a single model because we simply couldn’t process it all. With Anyscale, we were able to unify it into one model and reduce the cost by 99% while increasing the data volume for it by 12X.
When we trialed Anyscale, we were amazed by how much just worked out of the box. The hosted workspace, the managed compute layer, autoscaling, spot instances… it would have taken us months to build what we got with Anyscale in 3 days.
Lo que dice la historia, y lo que verificamos
Comparamos la historia con su página en línea el 7 oct 2026.
- La cifra: 99%VerificadoImpresa palabra por palabra en la página, cerca del nombre de Attentive.
- El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Attentive.
- Attentive usa AnyscaleVerificadoLínea 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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