Unique Design: Single-Core Efficiency for Multi-Modal Complexity
Our AsicAI™ NPU IP series leverages a proprietary Very Long Instruction Word (VLIW) AI DSP architecture, offering high compatibility and scalability specifically optimized for AI computation and advanced applications. Its architecture precisely controls operational elements and data transfer timing based on different computation types, achieving optimal resource utilization. It also supports various data precisions, including 8 to 16 bits, flexibly meeting diverse application and model requirements.

Thanks to its deeply optimized core design, the AsicAI™ NPU IP efficiently handles mainstream AI computations like CNN and Transformer with just a single core. Through flexible multi-core combinations, it can perfectly manage complex fusion models such as VLM (Vision-Language Models) and MLLM (Multi-modal Large Language Models). This innovation significantly simplifies system architecture, remarkably boosts resource utilization and overall computational efficiency, delivering exceptional cost-effectiveness for multi-modal AI applications.

Special Feature: Proprietary NoC (Network-on-Chip) for Ultimate Transmission Efficiency
Generic NoC IPs on the market struggle to optimize for demanding edge AI application scenarios. Our proprietary NoC technology at AsicAI™ allows for extreme data flow optimization based on specific client system requirements. This significantly reduces data transfer latency and substantially improves bandwidth utilization. This technology ensures maximum efficiency throughout the entire process, from data input to AI inference output, helping clients achieve the optimal balance between system cost and performance.

Function or Technology Used: Proven Track Record in AI Chip Design Services
We've successfully engaged with several leading listed IC design companies for technical collaboration and solution adoption. Critically, two of these listed IC company clients have already successfully entered mass production phases with our solutions. Notably, an AI chip utilizing our technology for Microsoft's Human Presentation Detection application has garnered the attention and adoption of a leading international laptop manufacturer, with products anticipated to launch by the end of 2025. Furthermore, we've successfully secured a cutting-edge 7nm process AI chip design service project, providing comprehensive turnkey solutions ranging from NPU IP design and integration to complete System-on-Chip (SoC) design.