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How Notion uses Anyscale

2-3x

“2-3x faster deployment”

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

What happened

Notion runs inference for its machine-learning search reranking models on Anyscale, using Ray to scale horizontally while keeping latency low for its AI-powered Enterprise Search. It also uses Anyscale for blue-green model deployments and is looking at it for embedding generation.

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

  • 20%“20% better latency”
  • 2 months“2 months to migrate all workflows to Anyscale”

With Anyscale, we've achieved 20% better latency compared to our previous solution – all while supporting continued user growth.

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

With Anyscale, we've achieved 20% better latency compared to our previous solution – all while supporting continued user growth.

Jake Sager, Software Engineer, Notion. 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: 2-3xCheckedPrinted word for word on the page, near the name of Notion.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Notion.
  • Notion 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.

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