Moore Threads Achieves Day-0 Adaptation of MiniMax H3 Multimodal Model

Moore Threads has achieved day-0 adaptation and deployment of MiniMax's newly open-sourced H3 multimodal generative model on its MTT S5000 GPU. The adaptation was completed in just three hours using the SGLang-MUSA inference framework and the muDNN operator library. This rapid deployment demonstrates the growing maturity and agility of China's domestic AI hardware and software ecosystems in supporting cutting-edge multimodal models. It also lowers the barrier for enterprises to deploy cost-effective, commercial-grade video and audio generation locally. The MiniMax H3 model supports text, image, audio, and video inputs to generate native audio-video content up to 2K resolution and 15 seconds long. Moore Threads utilized its MUSA software stack, mapping the model to its high-performance MATE and muDNN libraries to ensure stable execution.