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How Canva uses Anyscale

12x

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

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

What happened

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.

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

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.

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

We've been able to innovate quickly and successfully, and user feedback is very positive.

Greg Roodt, ML Lead, Canva. 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: 12xCheckedPrinted word for word on the page, near the name of Canva.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Canva.
  • Canva uses AnyscaleCheckedConfirmed 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.

80%“Adoption: 80% of agents using Copilot within four weeks”Canva uses Assembled. Another tool at Canva99%“With Anyscale, we were able to unify it into one model and reduce the cost by 99%”Attentive uses Anyscale. Another customer of Anyscale40%“That translated to a 40% cost reduction via spot automation”Bedrock Robotics uses Anyscale. Another customer of Anyscale