# How Canva uses Anyscale

**12x**: “In one particular Image classification example, training is 12x faster”

As published on [anyscale.com](https://www.anyscale.com/resources/case-study/how-canva-built-a-modern-ai-platform-using-anyscale). Captured by usedby on 2026-10-07.

- Company: [Canva](https://www.usedby.ai/companies/canva.md)
- Tool: [Anyscale](https://www.usedby.ai/tools/anyscale.md)
- Industry: [Marketing Tech](https://www.usedby.ai/companies/industry/marketing-tech-martech.md)
- Teams: Machine Learning

## What the story says

Canva uses Anyscale as the foundation of its AI platform to run distributed training across multiple machines for its image-heavy models and to power its generative and non-generative AI features. It is standardizing all AI training on Anyscale.

Summary written by usedby from the source page, in English. The figures are those of Anyscale and Canva, not ours.

> Up to 12x faster innovation velocity: many models now train 4-6x faster. In one particular Image classification example, training is 12x faster, processing a single epoch previously took 90 minutes and is now 6 minutes.

- **4-6x**: “many models now train 4-6x faster”
- **90 minutes**: “processing a single epoch previously took 90 minutes and is now 6 minutes”

> We've been able to innovate quickly and successfully, and user feedback is very positive.
>
> Greg Roodt, ML Lead

## What usedby checked

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

- Checked: the figure 12x is printed word for word on the page, near the name of Canva.
- Checked: the passage quoted above is copied word for word from the page, near the name of Canva.
- Checked: Canva uses Anyscale. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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