Rotary GPU

Rotary GPU: Exploring Local Execution for Large MoE Models Under Limited VRAM

Performance [Submitted on 27 May 2026] Title:Rotary GPU: Exploring Local Execution Paths for Large Mixture-of-Experts Models Under Limited GPU Memory View PDF HTML (experimental)Abstract:Large language models have achieved remarkable capabilities through scaling, and this paper does not challenge that. It instead investigates a different question: once large models already exist, can they become more accessible to environments with substantially smaller hardware resources?