Nvidia Open-Sources Flora for Robot Video Labeling, Estimates Lower Costs Than GPT-6 Astra

Nvidia released Flora, an open-source robot video annotation engine that it says is already supporting GR00T model training, with projected labeling costs substantially below GPT-6 Astra. Flora uses three fine-tuned Qwen3.5 models to identify action boundaries, describe actions and generate reward signals. Nvidia says it annotates up to 200,000 hours of video per day across 512 GB300 GPUs. Nvidia estimates Flora’s labeling cost at $0.72 per video hour, compared with $88.49 for GPT-6 Astra, using assumed GPU rental prices rather than production measurements. Benchmark results show different strengths: Flora performs better at detecting action boundaries and identifying failed steps, while Astra leads on some description and rubric-based scoring tasks.

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