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 the real costs behind light tag systems and how Lotwork helps you achieve faster, smarter, and more scalable warehouse automation.
Discover how Lotwork’s connected ecosystem of wearable tech, pick-to-light systems, and support tools helps logistics teams boost speed, accuracy, and ROI.
Cut rising tariff and shipping costs with lightweight warehouse tools. Discover how Lotwork’s ring scanners and wearables boost speed and reduce errors.
