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How Multiply Labs uses Anyscale

30 to 10 minutes

“cluster spin-up with H100s on Nebius used for training was reduced from 30 to 10 minutes”

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

What happened

Multiply Labs uses Anyscale-managed Ray clusters to run distributed training of physical AI and robotics models, including imitation learning and Vision-Language-Action approaches, for biomanufacturing robots. It deploys them in its own cloud accounts and across AWS, GCP and Nebius to get access to premium GPUs.

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

As a result, cluster spin-up with H100s on Nebius used for training was reduced from 30 to 10 minutes with similar results for other GPU types across cloud providers.

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

Using Anyscale as our multi-cloud Ray cluster manager, we’ve made our training runs fully portable across hyperscalers and specialized cloud providers, maximizing GPU availability.

Varun Bhatia, Staff Robotics Software Engineer, Multiply Labs. 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: 30 to 10 minutesCheckedPrinted word for word on the page, near the name of Multiply Labs.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Multiply Labs.
  • Multiply Labs uses AnyscaleCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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