English(EN) ZFLOW AI improves B300 inference with simulation tuning Testing showed 826 tokens/second peak throughput and lower tail latency using disaggregated serving on D

ZFLOW AI 通过 DeepSeek V4-Pro 调优提升 B300 推理性能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-26 13:02

ZFLOW AI 通过采用仿真调优，增强了 NVIDIA B300 硬件的推理能力。通过使用 DeepSeek V4-Pro 进行解耦服务，此优化实现了 826 tokens/秒的峰值吞吐量并降低了尾部延迟。 AI

影响通过先进的服务技术，展示了在专用 AI 硬件上提高推理性能的潜力。

排序理由这描述了对现有硬件和模型的优化，而不是新发布或基础研究。

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ZFLOW AI 通过 DeepSeek V4-Pro 调优提升 B300 推理性能

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-05-26 13:02

ZFLOW AI improves B300 inference with simulation tuning Testing showed 826 tokens/second peak throughput and lower tail latency using disaggregated serving on D

ZFLOW AI improves B300 inference with simulation tuning Testing showed 826 tokens/second peak throughput and lower tail latency using disaggregated serving on DeepSeek V4-Pro. The post ZFLOW AI imp... #Industry #News #NVIDIA #B300 #platform #Simulation #ZFLOW #AI Origin | Interes…

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ZFLOW AI improves B300 inference with simulation tuning Testing showed 826 tokens/second peak throughput and lower tail latency using disaggregated serving on D

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