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Nvidia open-sources Flora for cheaper robot video labeling

Nvidia has open-sourced Flora, a data engine that labels robot video using three fine-tuned Qwen3.5 models. Nvidia reports it labels an hour of robot video for 72 cents versus $88 with GPT-6 Astra, while scoring slightly higher on quality and catching robot action errors more reliably, though it sometimes lags on descriptive accuracy. Nvidia frames Flora as part of its push to control the robotics value chain.

AI Brief

Gives readers a concrete, open-sourced tool for robot-video data labeling with reported cost and quality comparisons to a frontier model.

Nvidia's new data engine Flora labels one hour of robot video for 72 cents instead of $88 with GPT-6 Astra, while scoring slightly higher on quality. The open system, built on three fine-tuned Qwen3.5 models, catches errors in robot actions far more reliably than any competitor but sometimes falls short on descriptive accuracy. Nvidia is positioning Flora as a key piece of its strategy to control the entire robotics value chain.

The article Nvidia open-sources Flora to make robot video labeling 125x cheaper than GPT-6 Astra appeared first on The Decoder.

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