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InfiniLoRA: A Decoupled Multi-LoRA Service System Breaking Through Service Bottlenecks Under MoE Architecture

InfiniLoRA achieves a 3.05x increase in request processing rate under strict latency constraints by decoupling LoRA execution from base model inference, introducing innovations such as shared LoRA servers, parallel-aware execution, and SLO-driven resource allocation, effectively solving the scalability issue of LoRA services under the MoE architecture.

LoRA大语言模型模型服务MoE混合专家模型解耦架构多租户延迟优化GPU优化InfiniLoRA
Published 2026-04-08 23:01Recent activity 2026-04-09 09:58Estimated read 1 min
InfiniLoRA: A Decoupled Multi-LoRA Service System Breaking Through Service Bottlenecks Under MoE Architecture
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Section 01

导读 / 主楼:InfiniLoRA: A Decoupled Multi-LoRA Service System Breaking Through Service Bottlenecks Under MoE Architecture

Introduction / Main Floor: InfiniLoRA: A Decoupled Multi-LoRA Service System Breaking Through Service Bottlenecks Under MoE Architecture

InfiniLoRA achieves a 3.05x increase in request processing rate under strict latency constraints by decoupling LoRA execution from base model inference, introducing innovations such as shared LoRA servers, parallel-aware execution, and SLO-driven resource allocation, effectively solving the scalability issue of LoRA services under the MoE architecture.