In the AI era, increasing speed and computing power should not rely solely on brute-force methods. There are multiple paths to optimize AI for industrial applications, each with distinct advantages:
1.Brute Force Computing Power
The U.S. approach focuses on high-performance chips, but it demands parallel advancements in energy systems.
2.Logic Optimization + Specialized Hardware IP
Enhancing equivalent computing power without requiring cutting-edge chips.
3.Advanced Algorithm Optimization
Significantly reducing computing power needs, allowing the use of mature process chips with ultra-low power consumption (e.g., Deepseek’s approach).
4.Algorithm Optimization + Built-in Hardware IP for Industry-Specific SoCs
Customizing AI chips tailored for industrial needs.
AI Optimization Comparison
For startups and regions with limited chip technology, paths 2, 3, and 4 provide the best opportunities. At GHE, Lotwork, and HYCO, we prioritize these approaches over brute-force computing, ensuring efficient and sustainable solutions.
