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Peking University
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ExpertPlex slashes over 95% of duplicate model weights and boosts goodput by up to 2.01 times, transforming how we serve large language models.
Agentic RL rollouts are bottlenecked by long-tail trajectory generation, but Heddle's trajectory-centric approach achieves 2.5x higher throughput.
Double your LLM inference throughput by routing KV-cache through decoding engines to bypass the bandwidth bottleneck on prefill engines.
