AIToday
Large Language ModelsRoboticsQiita 機械学習Published: Oct 20, 2026, 19:01 JST

Physical Intelligence opens Pi API beta, cloud inference hits 208ms edge

Physical Intelligence opens Pi API beta, cloud inference hits 208ms edge

3 Key Points

  1. What happened

    Physical Intelligence opened a Pi API beta on October 13 that lets companies upload robot data, fine-tune on PI's compute, and run inference through a hosted gateway; the author adds PI's measured 108ms remote-H100 inference to a 100ms Azure East Japan–US West round trip to get roughly 208ms, or d=10 at 50Hz — exactly the edge of PI's trained 0–10 step delay range.

  2. Why it matters

    That roughly 208ms round trip sits right at the boundary of the delay PI's model was trained to handle, so companies running robots from overseas cloud capacity have little margin before performance may degrade, according to the author's calculation.

Not sure about something? Ask the AI

Questions and answers are published on this page.

Summaries like this, in your inbox every morning.

FAQ
What can companies do with the Pi API beta?
They can upload their own robot data, fine-tune PI's models using PI's compute resources, and run inference through a hosted gateway.
How did the author arrive at roughly 208ms?
The author added PI's measured 108ms inference on a remote H100 to a 100ms Azure round trip between East Japan and US West, a median value over 30 days through July 30, 2026.
Are the API's model, price, or GPU location disclosed?
No — PI has not published the model name, price, GPU location, action chunk length, or which RTC method the API uses.
Qiita 機械学習Read Original Article

AI news that matters for your work, delivered every morning.

Pick your industry and the AI tools you use, and get news related to your work every day.

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.

Questions and answers are published on this page.

Related Articles

Next articleJapan names 10 experts to AI・デジタル改革推進会議