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:
- Brute Force Computing Power – The U.S. approach focuses on high-performance chips, but it demands parallel advancements in energy systems.
- Logic Optimization + Specialized Hardware IP – Enhancing equivalent computing power without requiring cutting-edge chips.
- 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).
- 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.
Explore Lotwork’s MODEX recap showcasing wearable technology, pick-to-light solutions, and hands-free workflows designed to improve warehouse efficiency and accuracy.
Improve pre-loading efficiency and accuracy in logistics with wearable scanning and light-guided solutions. Reduce errors, optimize loading, and cut delivery costs.
Visit Lotwork at MODEX 2026 Booth A5521 to explore wearable warehouse solutions, hands-free picking, wireless light tags, and 2P1S workflow designed to improve efficiency and reduce worker strain.