FMplex: Model Virtualization for Serving Extensible Foundation Models
Foundation models (FMs) are increasingly used as backbones for downstream tasks across language, vision, time-series, and multimodal applications. Yet existing model-serving systems deploy each customized task as an independent model instance, thereby replicating heavyweight backbones, wasting accelerator memory, and losing opportunities to amortize batching and loading costs. This paper presents FMplex, a serving system that treats FM backbones as a virtualization substrate for deployment sharing. FMplex presents each task with a virtual foundation model (vFM), a logically private FM instance backed by a shared physical FM. This abstraction lets independently customized tasks share a bac...
| Authors | Hetvi Shastri, Pragya Sharma, Walid A. Hanafy et al. |
|---|---|
| Primary category | cs.DC |
| Published | 8 June 2026 |
| Last updated at source | 8 June 2026 |
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