Lightwave Logic Inc (LWLG)

[tkg]

I love this image from Global Foundries, note the number of HVAC registers in the ceiling (crazy amount) combine the energy draw of the equipment itself with the energy draw needed to keep the units cool and you get can come to a conclusion like this from the article....

When it comes to #ArtificialIntelligence, GF chips are designed to combat the technology's major roadblock to sustainability. Read how we're partnering with leading researchers to open up new AI horizons: https://t.co/AWnfrpSVcz pic.twitter.com/XVJ4AG7FWp

— GlobalFoundries (@GlobalFoundries) March 26, 2022

"This growth in energy usage is unsustainable. Consider data centers, which make heavy use of AI. In 2017 they consumed about three percent of all the electrical power in the U.S, but by 2020 that had doubled to six percent, and there’s no end in sight. Industry projections say that by 2041 data centers theoretically would consume the world’s entire energy output if today’s inefficient compute architectures were still in use."
(Like X says "the world has a problem")

Last paragraph...;)

Looking Ahead

When asked what’s next for GF with regard to more energy-efficient AI, Letavic mentioned the company’s work with integrated voltage regulation for the compute die itself, and silicon photonics for even higher levels of transport and compute efficiencies.

“Improved power delivery is a way to compensate for the lack of power scaling at smaller nodes, which has become a real limitation at the systems level,” he said. “One of the key ways to save total application power is just to be more efficient at the way you deliver current and voltage to the processor core. We’re exploring various options, and it could be a very large opportunity for GF given our long heritage in bipolar CMOS and DMOS power devices.”

Letavic also mentioned that photonic acceleration, or using light (photons) instead of electricity (electrons) not only to transmit signals over optical fiber but for computing itself, may come to play a significant role in AI. “I would say this is developing a rate much faster than I had expected. And it's another place where we have some really solid university engagements.”
https://gf.com/blog/gf-aims-energy-efficient-artificial-intelligence