发生了什么: vLLM Delivers Day-0 Support for Kimi K3.1 Pro

vLLM added day-zero support for Moonshot AI's Kimi K3.1 Pro, a 104B-parameter multimodal model with sparse attention across NVIDIA, AMD, Google, and Alibaba hardware.

为何重要: vLLM Delivers Day-0 Support for Kimi K3.1 Pro

Engineers deploying large language models at scale who need efficient long-context inference and want to serve agentic workloads with minimal latency.

注意: vLLM Delivers Day-0 Support for Kimi K3.1 Pro

Sparse attention requires careful tuning of context parallelism settings; KV cache layout is complex with mixed quantization formats and token-sharded prefill adds exchange buffer overhead.

新闻

vLLM Delivers Day-0 Support for Kimi K3.1 Pro

vLLM · Inferact and the vLLM Team · 发布于 2026年11月4日 · 阅读约3分钟

30秒读懂

发生了什么: vLLM added day-zero support for Moonshot AI's Kimi K3.1 Pro, a 104B-parameter multimodal model with sparse attention across NVIDIA, AMD, Google, and Alibaba hardware.
为何重要: Engineers deploying large language models at scale who need efficient long-context inference and want to serve agentic workloads with minimal latency.
注意: Sparse attention requires careful tuning of context parallelism settings; KV cache layout is complex with mixed quantization formats and token-sharded prefill adds exchange buffer overhead.

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llm
attention
latency
kv cache
token

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