Humanoid robots, robocars, and embodied intelligence don't run on datacenter GPUs. They run on panel-shaped, edge-optimized, physically integrated silicon.
Humanoid robots require distributed compute: vision panels in the head, motion control panels in the torso, tactile processing in the limbs. Each is a panel compute module — rectangular, low-profile, thermally integrated.
Self-driving vehicles integrate LiDAR, camera arrays, radar, and ultrasonics into a unified perception stack. The compute substrate is inherently panel-shaped — mounted under seats, in trunks, and within dashboard assemblies.
Physical AI — models that reason about force, friction, and spatial dynamics — requires compute that lives in the physical world. Datacenter training creates the model. Panel compute deploys it.
Rectangular. Panel. Compute. Own the domain that names this convergence.
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