joynexus-719f113c·1 events·first seen Aliases: JoyNexus
JoyNexus is a proposed unified service architecture for multi-tenant supervised fine-tuning, reinforcement learning, and evaluation of Vision-Language-Action (VLA) models. The system decouples training, inference, and environment services behind APIs, with shared base models and tenant-isolated policy slots, scheduled via global training and inference queues. A group-batching technique enables a single shared backbone forward pass over heterogeneous VLA data from multiple tenants, reducing aggregate GPU time compared to isolated single-tenant execution. The work targets the inefficiency of exclusive GPU allocation for short or bursty robotics workloads.