JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models

The post-training of Vision-Language-Action (VLA) models is essential due to the diversity of simulators, robot embodiments, and task objectives. Existing compute services, whether offered as direct accelerator rental or batch-workload submission, typically allocate an exclusive set of GPU and CPU resources to a single tenant. While this paradigm maximizes client flexibility, it burdens users with infrastructure adaptation, and the fixed card-hour accounting model renders short or bursty workloa

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ethics.ai (16 July 2026), “JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models,” evidence record 11918, https://ethics.ai/record/11918 (originally published by HuggingFace Daily Papers).

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