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Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding

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来源:NVIDIA 技术博客发布时间待核实

As AI systems move from single-turn interactions to coordinated multiagent workflows, low-latency inference becomes increasingly important. Autoregressive LLMs... As AI systems move from single-turn interactions to coordinated multiagent workflows, low-latency inference becomes increasingly important. Autoregressive LLMs generate tokens sequentially, which can limit GPU utilization and constrain throughput in latency-sensitive serving scenarios.

Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding | 具身智能观察