vLLM(@vllm_project):New blog! 🚀 MTP, EAGLE-3, DFlash or DSpark, which speculative decoding method should you actually use? There’s no universal winner. The best choice changes with the model, workload, and speculation depth. We break down how 5 methods work, how to enable and tune them in vLLM, and benchmark them across Gemma, Qwen, Kimi and MiniMax on @AMD Instinct MI300X & MI355X. Deep dive 👇

vLLM

@vllm_project

A high-throughput and memory-efficient inference and serving engine for LLMs. Join to discuss together with the community!

가입 March 2024

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vLLM@vllm_project

2026.08.28 01:27

New blog! 🚀 MTP, EAGLE-3, DFlash or DSpark, which speculative decoding method should you actually use? There’s no universal winner. The best choice changes with the model, workload, and speculation depth. We break down how 5 methods work, how to enable and tune them in vLLM, and benchmark them across Gemma, Qwen, Kimi and MiniMax on @AMD Instinct MI300X & MI355X. Deep dive 👇