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vLLM adds day-0 support for Runway's Praxis-1 in vLLM-Omni

AIvLLM says Runway's Praxis-1 is now supported in vLLM-Omni on the day of release. The integration takes camera observations, robot state, and a task instruction to generate action chunks, and supports offline inference and OpenPI / Positronic serving. vLLM says it was qualified on a single NVIDIA H100 80GB, and the model ships with open weights under Apache 2.0.
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🎉 Day-0 support for @runwayml’s Praxis-1 in vLLM-Omni!

From watching the world to acting in it: Praxis-1 brings large-scale video pretraining to robot control, with open weights under Apache 2.0 and adaptation across robot embodiments.

vLLM-Omni takes camera observations, robot state and a task instruction to generate action chunks. The integration supports offline inference and OpenPI / Positronic serving, with session history and reset handling. Qualified on a single @NVIDIA H100 80GB.

Thanks to the Runway and @Inferact teams for bringing this together.

Runway@runwayml
Today, we’re making Praxis-1 available to everyone. Our state-of-the-art world action model turns video pretraining into control for real robots, and it ships with open weights under Apache 2.0, ready to run and fine-tune on your own hardware.
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Original title: 🎉 Day-0 support for @runwayml’s Praxis-1 in vLLM-Omni!

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Embodied AIDeployment & engineeringProduct updates