vLLM-Omni on Nebius H100: Serving Z-Image, Wan2.2, Qwen3-TTS & NVIDIA Cosmos 3

Intro Conference demos always run out of clock, you show one or two outputs and the rest stay on the cutting-room floor. That’s what happened at my last Conf42 talk, How vLLM-Omni Unifies Multimodal Inference, so to make up for it I promised to share the whole code and demo videos in a proper blog. …

What is vLLM-Omni? Beginners Intro

Intro Any-to-any multimodal models combining text, images, video, and audio are advancing AI, but their complex architectures, mixing autoregressive LLMs and diffusion transformers, make efficient serving very difficult. Current systems like OpenAI’s ChatGPT (text) and Sora (video) run as separate engines, lacking unified any-to-any pipelines. vLLM-Omni solves just that with a fully disaggregated serving system …