# NVIDIA open-sources robot data engine Flora, labeling cost about 1/125 that of GPT-6 Astra

- Source: 机器人前瞻 · 微信公众号
- Published: 2026-10-21T11:00:00.000Z
- RoboHot: https://robohot.news/en/items/w657lppbke15o3hm773ktt1uy
- Original: https://mp.weixin.qq.com/s?__biz=Mzk0NDU5NjMwMA==&mid=2247495505&idx=2&sn=75bb37052df7581a543d082a1f3af4d9&chksm=c267290da624806b931490dc6f8a7b0c537e60735bfd52ed9d60883f0a31b256f96bda521bb3&scene=126&sessionid=1792935926#rd

## Summary

NVIDIA released and open-sourced the data engine Flora, which converts raw robot video into training data such as timestamped action descriptions, process rewards, and outcome rewards; it is already used to train the GR00T series models. Flora consists of an action description model, a temporal segmentation model, and a reward model, fine-tuned from the Qwen3.5 series of vision-language models, and can label 200,000 hours of data per day on 512 GB300 GPUs.

## Why it matters

NVIDIA's open-source data engine cuts robot video labeling costs to about 1/125 of a general-purpose large model and provides several benchmark comparisons, which can be used to assess the substitution space in the data labeling segment.