Nvidia open-sources Flora with projected robot video labeling costs up to 125x lower than GPT-6 Astra
Nvidia open-sources Flora to make robot video labeling 125x cheaper than GPT-6 Astra
- Who
- Nvidia
- What
- open-sources Flora, an open data engine for robot video labeling
- Quote
Nvidia says the system is already running during training of its GR00T models, annotating up to 200,000 hours of video per day across 512 GB300 GPUs.
What happened
Nvidia released Flora, an open robotics video annotation engine comprising three fine-tuned Qwen3.5 models that segment actions, describe them, and generate reward signals. Nvidia estimates labeling costs of $0.72 per video hour versus $88.49 for GPT-6 Astra, based on assumed GPU rental prices rather than production measurements. Benchmark results vary, with Flora stronger at action boundary detection and failed-step identification, while Astra leads on some description and rubric-based scoring tasks.
Why it matters
The benchmark breakdown puts Nvidia’s projected cost advantage in context, showing how action boundary detection, description accuracy, and reward scoring favor different models across the reported tests.
Read next
See the full storyNvidia Open-Sources Flora for Robot Video Labeling, Estimates Lower Costs Than GPT-6 AstraThe story so far
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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