SOURCE-LINKED INTELLIGENCE

Efficient Vision-Language-Action Management and Serving for Robot Factories

arXiv · AI, language, vision and robotics · article · Sep 10, 2026 · UTC

Vision-Language-Action (VLA) models show high robotic manipulation capabilities via a two-stage design: a Vision-Language Model (VLM) stage followed by an Action Diffusion Transformer (ADiT) stage. Since robots must meet strict Service-Level Objectives (SLOs) for safety, VLA inference is inherently latency-critical. Meeting these SLOs requires high-end GPUs, yet weight, cost, and power constraints preclude integrating such GPUs on-robot. Prior works offload VLA inference to edge servers that serve many robots on VLA models. However, current VLA systems lack support for multi-request, multi-mod

Read original source ↗ Open in workspace

recordType

paper

region

Global