Armory: Serving 10+ Robots Concurrently on a Single GPU with Real-Time Scheduling
danfei_xu · x · 2026-08-03
Serving latency in robotics can cause task failure or safety risks, unlike typical LLM serving. To address this, researchers introduced Armory, a system designed for serving large robot policies to fleets from the cloud or edge.
By scheduling action chunks in real-time, Armory enables concurrent serving for 10+ robots on a single GPU. In real-world tests on heterogeneous fleets, it boosts task throughput by up to 18% over baselines.
Related event: Armory System Serves 10+ Robots on a Single GPU(3 posts)→
More from Embodied
- HOST: Open-Source Robot Learns New Skills in 29s from Single Video, 507x Faster Than SFT — chris_j_paxton · 2026-08-03
- Help: Minimax H3 OOM crashes on 5070 Ti 16GB VRAM — LocalAI_Amateur · 2026-08-03
- BBC Deploys Robot Camouflaged as Elephant Dung for Close-Up Wildlife Filming — lukas_m_ziegler · 2026-08-03
- Now that Minimax H3 is leaps ahead, does DGX Spark make more sense? — jumpingbandit · 2026-08-03
- Figure's New Robot Returns to Factory Floor After Building 30,000 BMWs — VraserX · 2026-08-03
- Learning a Thousand Robot Tasks in a Day Without Massive Data — chris_j_paxton · 2026-08-03