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![vLLM logo](https://media.daily.dev/image/upload/s--hTxEuls9--/f_auto/v1744613054/logos/vllm)

# vLLM

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Related tags:

[#vllm](/tags/vllm)[ #ai-inference](/tags/ai-inference)[ #performance](/tags/performance)[ #cicd](/tags/cicd)[ #devops](/tags/devops)[ #kimi](/tags/kimi)

[Posts about vllm](/tags/vllm)[Posts about ai-inference](/tags/ai-inference)[Posts about performance](/tags/performance)[Posts about cicd](/tags/cicd)[Posts about devops](/tags/devops)[Posts about kimi](/tags/kimi)

[Taking vLLM Apart: A Practical Guide to Disaggregated Serving](/posts/taking-vllm-apart-a-practical-guide-to-disaggregated-serving-y8tskqv3b)[Watermarking in vLLM](/posts/watermarking-in-vllm-53zpf6vbs)[Announcing vllm-metal: Concurrent Serving on Apple Silicon](/posts/announcing-vllm-metal-concurrent-serving-on-apple-silicon-qubj1vfph)[PD Serving of Qwen3.8-2.4T](/posts/pd-serving-of-qwen3-8-2-4t-apcbk4sws)[Scaling Multi-GPU Video Captioning with PyNvVideoCodec and vLLM](/posts/scaling-multi-gpu-video-captioning-with-pynvvideocodec-and-vllm-wec7oie6p)[How we trained the fastest DSpark for Kimi-K3 using GB300 NVL72](/posts/how-we-trained-the-fastest-dspark-for-kimi-k3-using-gb300-nvl72-q2ab1pkcq)[Kimi K3 Performance Optimizations in vLLM: The Road to 2.8× Throughput](/posts/kimi-k3-performance-optimizations-in-vllm-the-road-to-2-8-throughput-tlqrbg8ni)[Following the Bottleneck: Optimizing MiniMax M3 on AMD Instinct MI355X](/posts/following-the-bottleneck-optimizing-minimax-m3-on-amd-instinct-mi355x-2n8wb31yk)[MiniMax H3 on vLLM-Omni: From System-Wide Optimization to Real-Time Serving with FastVideo’s FastH3](/posts/minimax-h3-on-vllm-omni-from-system-wide-optimization-to-real-time-serving-with-fastvideo-s-fasth3-mhkh8zrjp)[Exploring Speculative Decoding in vLLM on AMD GPUs](/posts/exploring-speculative-decoding-in-vllm-on-amd-gpus-3xgpvjp6n)

## Most upvoted posts from vLLM

## Best discussed posts from vLLM

## All posts from vLLM

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