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  # ZenEdgeX
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  **Proprio: exact inference for robot policies.** Proprio runs unmodified vision-language-action
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- checkpoints (SmolVLA, pi0.5, GR00T N1.7) as recorded device graphs and verifies every action chunk
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- bit for bit against the original model before serving it. If the actions are not identical, it refuses
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- to deploy. Every run writes a Bitwise Certificate anyone can rerun.
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- Measured on an RTX 4090 with stock LeRobot checkpoints: SmolVLA 6.4x, pi0.5 2.7x, GR00T N1.7 2.7x,
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- all ticks identical. For fleets: 16 SmolVLA robots per GPU at 12.5x per robot, every row identical
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- to the robot alone.
 
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  - Results: https://zenedgex.in/proprio/
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- - Evaluation wheels, free, no key: https://github.com/zenedgex/proprio-releases
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- - The certificates behind the numbers: the `proprio-certificates` dataset in this organization
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- - Serving: openpi-compatible websocket server, LeRobot-shaped `RemotePolicy` client, Prometheus
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- metrics, and a proposed `robotics` Inference Providers task
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- We are registering as an Inference Provider for the `robotics` task so any LeRobot policy page can be
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- run exactly from the Hub. Contact: hello@zenedgex.in
 
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  # ZenEdgeX
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  **Proprio: exact inference for robot policies.** Proprio runs unmodified vision-language-action
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+ checkpoints faster and verifies every action chunk bit for bit against the original model before
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+ serving it. If the actions are not identical, it refuses to deploy. Every run writes a Bitwise
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+ Certificate anyone can rerun.
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+ **New in 0.1.2: a drop-in for LeRobot async inference.** `proprio lerobot-server` takes the same
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+ flags as LeRobot's policy server; the robot client does not change. Against LeRobot's own server on
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+ an RTX 4090, same observations and seeds: SmolVLA 20/20 action chunks identical, about 330 ms to
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+ 52 ms per chunk; pi0.5 20/20 identical. Guide: https://github.com/zenedgex/proprio-releases/blob/main/LEROBOT.md
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+ Model tick, eager against Proprio, all ticks identical (RTX 4090):
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+
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+ | Policy | Eager | Proprio | |
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+ |---|---|---|---|
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+ | lerobot/smolvla_base | 232 ms | 37–40 ms | 5.9–6.3x |
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+ | lerobot/pi05_base (bf16) | 257 ms | 97 ms | 2.7x |
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+ | nvidia/GR00T-N1.7-3B | 170 ms | 64 ms | 2.7x |
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+ | openvla/openvla-7b | 209 ms | 145 ms (H100: 88 ms) | 1.4x (H100: 2.7x) |
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+ | 16 SmolVLA robots per tick | 240 ms | 19.3 ms per robot | 12.5x, every row identical to the robot alone |
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+
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+ - Evaluation wheels, free, no key (Linux x86_64 and aarch64): https://github.com/zenedgex/proprio-releases
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+ - The certificates and server comparisons behind these numbers: the `proprio-certificates` dataset in this organization
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  - Results: https://zenedgex.in/proprio/
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+ - Serving: LeRobot async-inference server, openpi-compatible websocket server, `proprio doctor` to check a machine first
 
 
 
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+ Patent pending. Contact: hello@zenedgex.in