The race toward more powerful AI carries a hidden cost that's becoming impossible to ignore: skyrocketing energy consumption. Did you know AI is projected to devour 10% of global electricity by 2030? This staggering figure has even forced tech giants to delay their sustainability goals.
Enter ASE's Executive Vice President Yin Chang, who reveals how the world's largest semiconductor packaging company is tackling this challenge head-on. The solution lies in revolutionary approaches to power delivery and data transmission. By integrating voltage regulators directly into substrates, power can be delivered mere nanometers from compute chips, drastically reducing energy loss. Even more promising is the shift from electrons to photons for data transmission, which slashes power consumption by an impressive 6x.
At the heart of these innovations is ASE's VI-PACK platform, a comprehensive toolbox that empowers system architects to create maximally efficient AI systems. Moving compute components closer together minimizes power requirements, while co-packaged optics enable the crucial electron-to-photon conversion for longer-distance communication. These technologies aren't just theoretical—industry leaders like NVIDIA and AMD are already implementing them, with significant efficiency improvements expected within five years.
The conversation extends beyond data centers to the future of AI at the edge. As foundry processes advance toward smaller nodes, the voltage requirements decrease, making AI more viable for battery-powered devices. Chang envisions a near future where personal devices run limited AI models locally, offering enhanced privacy by processing sensitive data without cloud dependencies.
Discover how advanced packaging is becoming the unsung hero in balancing our appetite for AI innovation with the planet's energy limitations. Follow ASE Global on LinkedIn or visit aseglobal.com to learn more about their pioneering work in sustainable semiconductor solutions.
Learn more at aseglobal.com or follow ASE Global on LinkedIn.
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