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AI Hardware

AI models for robotics, CAD and chip design this week

AI models built for physical work: robot learning, 3D and CAD generation, chip design and verification, simulation and inspection.

Updated Nov 12, 2026. Read from 36 sources every four hours.

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  1. 1ModelWorth trying this weekFirst seen Nov 12, 2026

    lerobot/smolvla_base

  2. 2ModelWorth knowingFirst seen Nov 12, 2026

    speridlabs/idol

  3. 3ModelWorth trying this weekFirst seen Nov 12, 2026

    Runway’s Praxis-1 world action model for robotics is now available

    Praxis-1 builds on Runway’s work as a founding member of the Cosmos Coalition, advancing open world models for physical AI. | Source: Runway Runway AI Inc. yesterday released Praxis-1, its world action model for robotics. The model is now available to…

  4. 4ModelWorth trying this weekFirst seen Nov 12, 2026

    openvla/openvla-7b

  5. 5ModelWorth trying this weekFirst seen Nov 12, 2026

    nvidia/GR00T-N1-2B

  6. 6ModelWorth trying this weekFirst seen Nov 12, 2026

    lerobot/pi05_base

  7. 7ModelWorth trying this weekFirst seen Nov 12, 2026

    nvidia/MotionBricks

  8. 8ModelWorth trying this weekFirst seen Nov 12, 2026

    nvidia/GR00T-N1.7-3B

  9. 9ModelWorth trying this weekFirst seen Nov 12, 2026

    physical-intelligence/fast

  10. 10ModelWorth trying this weekFirst seen Nov 12, 2026

    black-forest-labs/flux-3-action-base

35 more ranked this week.

AI Hardware in Spezia ranks every find as it lands, today and this week, with filters by kind and by source, and you can ask Spezia whether each one is worth your time.

How it is ranked

  • Each item is judged for a hands-on hardware engineer (electrical, mechanical, semiconductor, embedded, robotics or manufacturing): how much it could speed up or improve real design, verification or build work this week, whether it is new, and whether there is a real product, part, project or result behind it.
  • How hot it is where it was found counts too: points, stars, upvotes, views and likes, each on its own scale.
  • A find picked up in several places at once ranks higher than one seen once.
  • Today fades an item by half its lift every two days. This week ranks on quality alone.
  • Nobody pays to be listed.

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