Dreamscale serves NVIDIA's DreamZero robot model 8% faster with half the silicon
chris_j_paxton · x · 2026-09-23
Dreamscale Labs (YC F26) claims to be the first inference provider serving NVIDIA's DreamZero robot model over the cloud, beating NVIDIA's own reported inference speed by 8% with half the silicon. DreamZero pioneered the "World Action Models" wave in generalist robotics, promising better task generalization, learning physics from human video, and transfer to new embodiments. The catch: NVIDIA's setup needs 2x GB200 superchips ($60K each) or is painfully slow (5.7s wait for 1.6s of motion), making real-robot deployment infeasible — Dreamscale's real-time cloud inference claims to fix that.
More from Embodied
- Homebrew robot arm build log Day 7: geartrain CAD, wiring and gripper sizing — _Stocko_ · 2026-11-11
- Perceptron AI launches EgoHome, an open benchmark for sub-second egocentric hand understanding — rohanpaul_ai · 2026-11-11
- Runway open-sources Praxis-1, turning video pretraining into real robot control — runwayml · 2026-11-11
- Unitree G1 humanoid wearing VR goggles pilots an A1 drone in land-air robot demo — CyberRobooo · 2026-11-11
- CoRL Spotlight Meta-Ctrl predicts robot plan failures, Llama 3 8B beats GPT-5.5 on VirtualHome — guyvdb · 2026-11-11
- Luna, a jewelry-style AI wearable that speaks before you ask, launches on Kickstarter — nikola_mr64990 · 2026-11-11