For years, R&D teams debated the classic rivalry between CISC and RISC architectures. But in the specialized arena of Edge AI Systems-on-Module (AI SoMs) , that debate is academic. For developers building scalable, mobile  Edge AI products, the argument isn't about which instruction set is smarter —it's about which system is leaner . The ultimate decider is the efficiency  of the entire system. The Market Reality: Why We Favor RISC The RISC (Reduced Instruction Set Computing)

For years, building an AI-powered product meant hooking it up to the massive, centralized Cloud . But that era is ending. A new, more powerful paradigm has emerged, driven by a ready-to-use solution: the AI System-on-Module (AI SoM) . Think of the AI SoM not just as a chip, but as a production-ready, miniature supercomputer . It brings the heavy-lifting of AI processing directly to your device—the Edge —allowing R&D teams to bypass complex hardware design and jump straight in