Event ·Multi-source

vLLM 在 PyTorchCon 2026 展示 KV cache 与多硬件内核优化

vLLM 项目的 Simon Mo 在 PyTorchCon 2026 上介绍了项目当前进展，重点是 KV cache 管理和内核层面的优化。这些优化覆盖 TPU、AMD 和 NVIDIA 三类硬件。该工作针对 LLM 在模型规模、上下文长度和架构复杂度增长后带来的性能与可扩展性问题。

Current read

vLLM 的 Simon Mo 在 PyTorchCon 上讲了 KV cache 和内核优化，TPI、AMD、NVIDIA 卡都能跑得更快，搞推理部署的可以看看。

11 sources57° AI heatLast updated 2026/10/20 17:20:44

Evidence

11 sources

Primary sourcePyTorch

2026/10/20 17:20:44View source

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2026/10/19 20:09:24View source

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Related source 10LMSYS Org (SGLang)

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