GSIT low power edge computing

GSI Technology, a very interesting company. In a normal CPU/GPU system, data is shuffled around from the main memory to the processor and back again. This moving of data takes a lot of energy. GSIT have created something called an APU, here logic units are embedded in memory, and they are close to the data. They can do parallel checks of memory that they are connected to and then pass their findings to a central CPU/GPU. This isn't some far off tech, it's been tested by Cornell University, and is being tested by the US army. For some edge computing tasks, the APU used 98 percent less energy than an equivalent Nvidia chip. This can't be used to train LLMS, so its not a Nvidia killer. This could be in your phone or laptop in the coming years, and can be integrated with existing CPUs and GPUs. Watch this: [https://youtu.be/jJyL8zEPLcY?si=LvLE7R6AqnIVQ089](https://youtu.be/jJyL8zEPLcY?si=LvLE7R6AqnIVQ089) I am sure Nvidia and the big players are aware of GSIT, but they usually keep quiet about tech that they are eyeing. GSI has a market cap of 380 million USD. I have small position in GSIT.