Flora paper: 512 GB300 GPUs label 200K hours of robot video daily
DrJimFan · x · 2026-10-21
The Flora website and paper (NVIDIA Research) reveal more detail: an industrial-grade data engine built to train GR00T robotics foundation models, covering outcome rewards (deployment monitoring), process rewards (RL post-training), and timestamped captions (pretraining data filtering).
- Benchmarks: compared against GPT-6 Astra, GPT-5.6 Sol, Claude Opus 5, and Kimi K3 on DenseCaptionBench and WGO-Bench, leading many metrics over open-weight and some proprietary models
- Cost: roughly 125x cheaper than API-based alternatives
- Scale: labels 200,000 hours per day in production across 512 GB300 GPUs
- Released: paper PDF and Hugging Face weights, enabling custom large-scale robotics datasets and directions like physical auto-research and human-to-robot transfer
Related event: NVIDIA Open-Sources Flora, a Robot Data Engine at 1/125 the Cost(3 posts)→
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