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   vLLM adds day-0 support for Reflection's 501B Beam model with Blackwell optimizations

   vLLM published day-0 serving support for Reflection's Beam, a 501B-parameter mixture-of-experts model with 23B active parameters per token, optimized for NVIDIA Blackwell. The engine handles reasoning, tool calling and structured outputs out of the box and can run Beam with tensor, data or expert parallelism, with a Docker image and launch command provided. The post says coding agents autonomously tuned the implementation so batch-1 decode is 2.71× faster and prefill 1.87× faster than the first version, and that Beam's DFlash2 drafter reaches 708 tokens/s for a single request on TP8 with an acceptance length of 3.7. It also describes day-0 reinforcement-learning support built with the SkyRL team, reporting AIME25 average accuracy rising from about 61% to about 79% after 50 training steps.

   vLLM Blog · 🔥 0

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