ModelsSelected11月13日 23:48

Runway's Praxis-1 robotics model now runs on SO-101 hardware

Official accountRunway ML@runwayml

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Why we picked it

Running on one RTX 5090 means hobbyists and university labs can now deploy a foundation robotics model without data-centre budgets, a sharp contrast to closed offerings from physical-AI startups. Teams using Hugging Face's LeRobot stack can clone the checkpoint and follow the published setup instructions to get a SO-101 arm running the same day. Watch this space as community-dataset-trained models challenge proprietary robotics stacks.

Runway announced that Praxis-1, its robotics foundation model trained on thousands of community-shared datasets, now runs on the SO-101 robot arm. The company released the checkpoint and setup instructions on GitHub at github.com/runwayml/praxis, making it directly deployable by anyone with compatible hardware.

Runway's Praxis-1 robotics model now runs on SO-101 hardware — Image · Runway ML

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The model runs on a single NVIDIA RTX 5090 consumer GPU using NVFP4 quantisation, removing the need for expensive multi-GPU inference setups. Praxis-1 is built on datasets contributed through the LeRobot community, an open robotics ecosystem whose shared teleoperation and manipulation data underpin the model's training.

The release lowers the entry cost for robotics experimentation to roughly one consumer GPU and an affordable SO-101 arm. For robotics developers and research labs, it signals a shift toward community-data-driven, open-checkpoint robotics models that can be run and fine-tuned outside large corporate labs.

Original · Runway ML

Praxis-1 now runs on SO-101. Built on thousands of datasets shared by the LeRobot community, the model runs on a single RTX 5090 with NVFP4. The checkpoint and setup instructions are available. github.com/runwayml/praxi… .

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Praxis-1, SO-101, LeRobot, Runway.

Source attribution: curated from Runway ML (@runwayml).

#Praxis-1 #SO-101 #LeRobot #Runway #open-source models

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