llm-db/FineInfer

FineInfer is an academic research artifact associated with EuroMLSys 2024. While the 'Deferred Continuous Batching' technique addresses a critical bottleneck in LLM serving (balancing latency and throughput), the project lacks the necessary community traction (19 stars) or production-grade hardening to survive as a standalone tool. The LLM inference optimization space is dominated by heavily funded, high-velocity projects like vLLM, Text Generation Inference (TGI), and NVIDIA's TensorRT-LLM. These frameworks move so quickly that a novel scheduling algorithm is typically absorbed as a pull request or a feature within months of publication rather than becoming a new category-defining product. The lack of recent commits and low fork count suggests it remains a static reference implementation for the paper's findings rather than a viable infrastructure component. Any performance gains discovered here are highly likely to be replicated or improved upon by frontier labs or the core vLLM team, leaving little room for a defensible moat.