Lightmatter, a company focused on developing photonic chips for artificial intelligence, claims several advantages over traditional electronic processors:
1. Speed: Lightmatter claims its photonic chips are 10 times faster than Nvidia's AI processors. This is due to the speed of light, which is significantly faster than the speed of electrons in traditional electronic circuits.
2. Energy Efficiency: Lightmatter's chips are said to be significantly more energy-efficient than traditional AI processors. This is due to the fact that photons do not lose energy as they travel through a photonic circuit, whereas electrons do lose energy as they travel through an electronic circuit.
3. Scalability:Photonic chips can be scaled to much higher densities than electronic chips, which means that they can be used to build much more powerful and efficient AI systems.
4. Smaller Size: Photonic chips are smaller and lighter than electronic chips, which makes them ideal for use in mobile devices and other space-constrained applications.
5. Lower Cost: Lightmatter claims that its chips will be less expensive to manufacture than traditional AI processors. This is due to the fact that photonic chips can be manufactured using existing semiconductor manufacturing processes.
However, it's important to note that Lightmatter is still a relatively young company, and its technology is still in the early stages of development. While the potential benefits of photonic chips are significant, it remains to be seen whether Lightmatter will be able to overcome the technical challenges and bring its technology to market on a large scale.
Here are some additional points to consider:
Maturity of the Technology: Photonic computing is still a relatively new technology, while traditional electronic computing has been around for decades. This means that there are still many challenges to be overcome before photonic chips can be widely adopted.
Cost of Manufacturing: While Lightmatter claims that its chips will be less expensive to manufacture than traditional AI processors, it is still unclear whether this will be the case in practice.
Power Consumption: While photonic chips are more energy-efficient than traditional electronic chips, they still require a significant amount of power to operate. This could limit their use in some applications.
Compatibility with Existing Hardware and Software: Photonic chips are not compatible with existing electronic hardware and software. This means that new hardware and software will need to be developed in order to take advantage of the benefits of photonic computing.
Overall, Lightmatter's photonic chips have the potential to revolutionize the field of artificial intelligence. However, it is important to be realistic about the challenges that lie ahead.
So bottom line is there nothing too amazing about Lightmatter vein you clown Short! but if you look at their implied market cap and then look at LWLG, and trust me LWLG's technology is going to be FAR MORE VALUABLE then you will begin to understand just how UNDERVALUED LWLG is today!!!
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