The use case: how Chef Robotics deploys Anyscale
Chef Robotics trains and fine-tunes the foundation models behind its autonomous food assembly robots on Anyscale, using distributed multi-GPU clusters instead of manually provisioned GCP instances. Jobs are launched through the Anyscale CLI, with GPU capacity and spot or reserved instances managed by the platform.
In the customer’s words
Anyscale took us from POC to full production with speed and reliability, driving down total training time by an order of magnitude. We no longer have to deal with spinning up machines, getting access to them, or handling restarts.Other companies using Anyscale
Customers across industries, with public evidence.
AttentiveConfirmed
Bedrock RoboticsConfirmed
BonsaiConfirmed
CanvaConfirmed
CoactiveConfirmed
GeotabConfirmedGo straight to the source
Based on Anyscale’s published case study. We check the public evidence; the results are reported by the vendor.
anyscale.com- Last checked
- Oct 20, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 16Checked
The figure is on the page; its label is our wording.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Chef Robotics.
- Chef Robotics uses AnyscaleChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Chef trains and fine tunes foundation models like Pi0 on Anyscale, launching jobs through the Anyscale CLI and monitoring progress through Weights and Biases and Anyscale's own tooling, resulting in an order of magnitude reduction in total training time.