Efficient Vision-Language-Action Management and Serving for Robot Factories
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-model execution on a multi-GPU server under SLOs, while existing serving systems for multi-stage mod...
| Authors | Dionysios Adamopoulos, Nattapol Chanpaisit, Basel Fakhri et al. |
|---|---|
| Primary category | cs.DC |
| Published | 10 September 2026 |
| Last updated at source | 10 September 2026 |
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