MoXin Tech Launches MoWorld: 50FPS Real-Time Interaction on Domestic NPU with 70% Inference Cost Reduction

MoXin Technology, in collaboration with Zhejiang University's Pan Yunhe academician team and Huawei, has officially released MoWorld, the first full-stack real-time interactive world model based on domestic NPUs. The model achieves over 50FPS real-time inference on Huawei Ascend NPU platforms, with inference costs only 30% of comparable GPU solutions (a 70% reduction). MoWorld is defined as a "Flash World Model," supporting 6-DoF camera control and long-duration (2000-frame) video generation. The technical report has been open-sourced, with weights and code to be released soon.

Technical Breakthrough: Full-Stack Domestic from Training to Inference

MoWorld has been systematically optimized across data, training, distillation, and inference. On the data side, leveraging the team's years of 3D/4D modeling expertise, a scalable data engine incorporating camera trajectories and spatial depth information has been built. During training, ultra-dense attention parallelism and long-sequence token parallelism are introduced to adapt to domestic NPU characteristics, supporting 2000-frame ultra-long video training. For inference, pipeline execution, hierarchical sequence parallelism, and dynamic mixed-precision quantization enable the 14B-parameter MoE model to achieve 50FPS real-time interaction on Huawei Ascend 910C CloudMatrix384 NPUs.

Cost and Performance: 70% Inference Cost Reduction with Leading Quality

MoWorld's inference cost under typical configurations is 70% lower than comparable GPU solutions, while generation quality surpasses existing mainstream world models in spatial consistency and temporal stability. Comparative tests show that MoWorld significantly reduces structural deformation and object drift under identical scenes and camera motions, supporting 1080P and higher resolution outputs.

Application Scenarios: From Gaming to Embodied Intelligence

Positioned as a "spatial simulation engine," MoWorld has planned multiple industrial deployment directions:

• Gaming and Interactive Entertainment: Supports W/A/S/D and mouse-controlled 6-DoF immersive roaming.
• Embodied Intelligence and Autonomous Driving: Provides low-cost, high-fidelity virtual training environments for robots and autonomous vehicles.
• Film Production: Enables director-level real-time camera pre-visualization with joint camera-plot control.
• Digital Twins and 3D Reconstruction: Generated videos exhibit geometric consistency, directly applicable to indoor scene 3D reconstruction.

Capital and Industry Background

MoXin Technology recently completed over $100 million in financing, with investors including national strategic reserve capital, Middle Eastern dollar institutions, top-tier market-oriented funds, and over ten industrial investors. Previously, MoXin received investments from Huawei Hubble and Lenovo's funds. Founder Chen Tianrun, a student of Academician Pan Yunhe, adheres to the 3D vision knowledge technology path.

Industry Significance

World models are still in their early industrial stage, with no globally recognized leader or technical standard yet established. MoWorld is the first to validate the feasibility of full-stack domestic NPUs supporting real-time interaction and industrial deployment of world models, advancing the field from "capable of generation" to "capable of interaction, deployment, and affordability." It is regarded as the "DeepSeek moment" for world models.