← Wednesday, October 14, 2026Models & trainingRelease

Physical Intelligence opens an API for robot-model fine-tuning and inference

pi.website 4 min read Editor score 7/10

The beta lets developers upload data, fine-tune robotic foundation models on managed compute and run them through a hosted inference gateway. It illustrates a hosted workflow for adapting robot models without building the full ML infrastructure in-house.

What
Pi API beta provides training and inference access to Physical Intelligence's robotic foundation models.
How
Developers upload data, fine-tune a π model on managed compute, then run it through hosted inference and use evaluation data to guide iteration.
Why it matters
Managed training infrastructure and a repeatable test-and-refine loop can ease the work of adapting models to robots.
fine-tune access inference test guide iteration your data π model hosted gateway robot evaluation data
The API workflow fine-tunes a model from uploaded data, runs it on a robot, and uses evaluation to guide iteration. Sketched from the article's own text.

Discussion

Discussion is not switched on yet. Use Note above to keep your own thoughts on this story.

Headline, summary, brief and diagram are written by a model from the source's own text; the link, byline and numbers come from the source. Read the original before relying on a claim.

Your note

Private to you. Stored in this browser, and synced to your account when you are signed in.