Optimizing AI for Industry: Beyond Brute Force Computing

January 30, 2025

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.

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