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Optimize vLLM speculative decoding with FastMTP heads

Red Hat Developer · published 8 September 2026

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https://developers.redhat.com/articles/2025/07/01/fly-eagle3-fly-faster-inference-vllm-speculative-decoding

developers.redhat.com

Speeding up LLM inference with P-EAGLE in vLLM Speculators Read at the source ↗

developers.redhat.com

https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct

huggingface.co

https://huggingface.co/datasets/openai/gsm8k

huggingface.co

https://developers.redhat.com/sites/default/files/image1_288.png

developers.redhat.com

https://github.com/vllm-project/speculators/blob/main/examples/train/mtp_qwen3_5_9b_gsm8k_online.sh

github.com

https://docs.vllm.ai/projects/speculators/en/latest/

docs.vllm.ai

https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-ai

redhat.com

https://www.redhat.com/en/products/ai/inference

redhat.com

https://developers.redhat.com/articles/2026/06/04/speculators-v050-dflash-support-and-online-training

developers.redhat.com

https://developers.redhat.com/articles/2025/11/19/speculators-standardized-production-ready-speculative-decoding

developers.redhat.com

https://blog.vllm.ai/2025/12/13/speculators-v030.html

blog.vllm.ai