Built on Houmo.AI’s proprietary CIM architecture, the chips combine high computing power, high memory bandwidth and low power consumption to improve edge AI inference efficiency and hardware utilization. They support large language, vision and multimodal models across portable devices, compact terminals and edge systems.
Houmo.AI provides proprietary software, toolchains and operator libraries optimized for the CIM architecture. These capabilities unlock the performance and power-efficiency advantages of CIM IP while simplifying deployment and improving development efficiency.
Models and data can be processed locally, reducing the need to upload sensitive information. This protects user privacy and business data while providing a secure foundation for personalized AI services.
AI inference and task processing can be completed locally without relying on a network connection. Critical intelligent services remain stable and available in offline and limited-connectivity environments.
Local computing continuously generates tokens without usage-based cloud inference fees. Once the device has been deployed, the marginal cost of token generation approaches zero, creating a cost advantage for high-frequency, long-term AI applications.
This image is a conceptual illustration for reference only
This image is a conceptual illustration for reference only
This image is a conceptual illustration for reference only
This image is a conceptual illustration for reference only
This image is a conceptual illustration for reference only
This image is a conceptual illustration for reference only
This image is a conceptual illustration for reference only
This image is a conceptual illustration for reference only
