vLLM-Omni adds day-zero serving for MiniMax H3-Image
The vLLM Blog reports that vLLM-Omni now supports MiniMax H3-Image, an open-weight model for native high-resolution text-to-image generation and image editing. On four NVIDIA Vera Rubin GPUs, the team reports a 0.87-second median for native 4096×4096 generation in a short-prompt serving benchmark. Separate tests report an average of 1.48 seconds for 4K generation on four GB300 GPUs and 1.77 seconds for a 4K edit with one reference. A detailed prompt test on Rubin averaged 1.09 seconds. Implementations and recipes also cover AMD Instinct, Intel Arc Pro, Huawei Ascend and Moore Threads hardware, with validation configurations and results varying by platform.
The release provides a day-zero serving implementation, documented deployment recipes and hardware-specific validation results for H3-Image.
We brought MiniMax H3-Image to NVIDIA Vera Rubin with vLLM-Omni. On four GPUs, native 4096×4096 generation reaches 0.87 seconds median in our short-prompt serving benchmark. A separate throughput configuration delivers 6,115 images/hour, projecting to 146,755 images/day.
At USD 0.06879 per image, using MiniMax's official Standard 4K API pricing example before launch discounts as an assumed sale price, peak throughput projects to USD 105.16/GPU/hour in gross revenue at full billable utilization, or USD 78.87/GPU/hour at 75%. These estimates are before operating costs; the daily capacity is an extrapolation of the measured rate.
H3-Image is an open-weight model for text-to-image generation and image editing. One checkpoint handles both tasks in six sampling steps, generates native high-resolution images without an upscaler, and supports up to 16 reference images.
We bring H3-Image to consumer and data-center GPUs, spanning NVIDIA, AMD, Intel and Moore Threads (MUSA), as well as Huawei Ascend NPUs.
#MiniMax#H3-Image#vLLM-Omni#NVIDIA Vera Rubin#NVIDIA GB300#NVIDIA H200#NVIDIA RTX 5090#AMD Instinct#Intel Arc Pro#Huawei Ascend#Moore Threads MUSA#OpenDirector