gLLM uses a token-throttling scheduler that separately balances prefill and decode token counts across pipeline stages, cutting pipeline bubbles and raising LLM serving throughput by 11-398% over vLLM and SGLang.
Gsm-plus: A comprehensive bench- mark for evaluating the robustness of llms as mathematical problem solvers,
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gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token Throttling
gLLM uses a token-throttling scheduler that separately balances prefill and decode token counts across pipeline stages, cutting pipeline bubbles and raising LLM serving throughput by 11-398% over vLLM and SGLang.