50%
“including running 50% of workloads on spot instances for cost efficiency”
As published on anyscale.com. Captured by usedby on Oct 7, 2026.
What happened
onepot uses Anyscale as its distributed compute platform to enumerate tens of billions of candidate reactions and score them with feasibility ML models on CPU and GPU instances. This filters the space down to compounds likely to synthesize successfully, running inside its own AWS and GCP accounts with part of the workload on spot instances.
Summary written by usedby from the source page, in English. The figures are those of Anyscale and Onepot AI, not ours.
- 70 to 80 percent“The result is onepot CORE: more than 3 billion synthesizable compounds with a 70 to 80 percent synthesis success rate, guaranteed 90% or better purity by LC/MS, and delivery timelines as short as five business days.”
Because Anyscale handles interruptions automatically, we can roughly cut our compute bill in half by using spot instances with zero engineering on our side.
Because Anyscale handles interruptions automatically, we can roughly cut our compute bill in half by using spot instances with zero engineering on our side.
What the story claims, and what we checked
We compared the story with its live page on Oct 7, 2026.
- The figure: 50%CheckedPrinted word for word on the page, near the name of Onepot AI.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Onepot AI.
- Onepot AI 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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