Nebius partners with Positronic on Physical AI Leaderboard (PhAIL)

Nebius, as a founding consortium partner of the Physical AI Leaderboard (PhAIL) by Positronic, is helping to establish a rigorous, real-world benchmark for evaluating robotics AI models, focusing on practical metrics like Units Per Hour (UPH) and Mean Time Between Failures or Assists (MTBF/A) in bin-to-bin order picking tasks. PhAIL aims to provide a transparent and reproducible evaluation process using real hardware, with all runs recorded and available for independent auditing. Positronic developed the evaluation methodology and operates the benchmark, while Nebius contributes its vertically-integrated AI infrastructure, offering managed services and high-performance computing resources to support model fine-tuning and evaluation. The initiative encourages open participation, offering a free dataset and open-source training scripts, with the evaluation hardware being widely accessible. The consortium is inviting new members, including hardware vendors and academic labs, to help shape future metrics, with more details available in Positronic's full blog post.

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