# How Bonsai uses Anyscale

**4x**: “Accelerate end-to-end experimentation by 4x”

As published on [anyscale.com](https://www.anyscale.com/resources/case-study/bonsai). Captured by usedby on 2026-10-07.

- Company: [Bonsai](https://www.usedby.ai/companies/bonsai.md)
- Tool: [Anyscale](https://www.usedby.ai/tools/anyscale.md)
- Teams: Perception

## What the story says

Bonsai Robotics uses Anyscale, a managed multi-cloud platform powered by Ray, to run large-scale foundation model training and multimodal data processing for its off-road agricultural autonomy perception work. It lets the team run many experiments in parallel on AWS and GCP without managing clusters.

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

> The perception team can run many experiments in parallel, onboard new researchers faster, and use built-in observability to debug and optimize workloads, reducing end-to-end experiment cycles from days to hours.

- **10x**: “Reliable experiments with 10x larger datasets”

> In autonomous system development, early data and AI infrastructure decisions have an outsized impact on experimentation speed. For Bonsai, Ray on Anyscale is the scalable foundation that keeps our team focused on advancing our differentiated models, not managing infrastructure.
>
> Ugur Oezdemir, Co-Founder and CTO, Bonsai Robotics

## What usedby checked

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

- Checked: the figure 4x is printed word for word on the page, near the name of Bonsai.
- Checked: the passage quoted above is copied word for word from the page, near the name of Bonsai.
- Checked: Bonsai uses Anyscale. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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