vLLM Lead Maintainer Shares Experience Operating Open Models at 500,000-GPU Scale
vLLM says Simon Mo discussed day-zero support, licensing shifts, and the future of inference in a conversation
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vLLM
vLLM is an open-source inference engine that improves inference speed and memory efficiency so that large language models can serve many users simultaneously. Its signature technology is PagedAttention, a technique that manages GPU memory in page units to boost throughput. Rather than being a commercial product sold by a specific company, vLLM is an open-source project whose development and distribution are led by community maintainers. In August 2026, vLLM's lead maintainer shared operational experience running open models at a scale of 500,000 GPUs, offering a glimpse into large-scale inference infrastructure operations.
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vLLM · Recent announcements
- 608New blog! MTP, EAGLE-3, DFlash or DSpark, which speculative decoding method should you actually use?
- 510Qwen3.8-Flash-Next from @Alibaba_Qwen has day-0 support in vLLM, verified on NVIDIA and AMD GPUs.
- 441vLLM v0.28.0 is out! 584 commits from 270 contributors (76 new).
- 344Congrats to @SparkLLM on releasing Spark-X2.5-4B and 1.7B! Compact on-device agent models: 200+ languages, native 1M context.
- 351Congrats to @Zai_org on GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series, and their first hybrid of sparse and linear attention.
- 310Congrats to @deepseek_ai on DeepSeek-V4-Flash-Vision-Exp, the first multimodal model in the V4 family! vLLM serves it now.
- 216This weight transfer engine is native to vLLM. Any Ray-based trainer can adopt it with a single WeightSource iterator.
- 183미니맥스 H3, 영상 생성이 재생시간보다 빨라졌다
- 196We worked alongside @inferact and @FireworksAI_HQ on the investigation.
- 189Congrats to @Zai_org on opening the GLM-5.3 weights, the largest model in the GLM-5.3 line. Day-0 support in vLLM.
- 176Huge congrats to the FastVideo team at @haoailab on the FastH3 release!
- 83On Tuesday, capping off a full day of speakers at the first vLLM Conference, the vLLM community gathered for a rooftop happy hour at sunset. The event hit capacity, and sunset over the city was a great backdrop.
- 76@TencentHunyuan's Hy4-preview runs in vLLM from day 0, verified on NVIDIA GPUs.
- 73vLLM core maintainer and Inferact CEO @simon_mo_ is featured in the new PyTorch Conference promo video, talking about the goal for vLLM: the easiest to use and most efficient inference engine.
- 61Monday afternoon we hosted a a vLLM x @googlecloud x @anyscalecompute happy hour in San Francisco , featuring core maintainers of vLLM and the builders of TPU. There were drinks, food, and a room full of people working on inference.
- 56On Monday before the vLLM Conference, we co-hosted the vLLM x NVIDIA Dynamo meetup. We had room for 300 people and got 1,600 signups. Incredible turnout from this community.