As we move into the future, computer companies are making their chipsets more and more powerful. For example, Apple’s latest M1 chip has 16 billion transistors and is blazingly fast compared to other SoCs like Intel’s i9 chips. However, no matter how fast Apple’s new computer chips are, they most likely won’t be able to simulate the future ” faster than the laws of physics .” Well, it turns out that there is actually a supercomputer chip capable of performing the aforementioned task.
Dubbed the Cerebral CS-1, this chipset is the largest chip in the world and contains around 1.2 trillion transistors. This is a 75,000% increase in the number of transistors over Apple’s latest SoC.
It is defined as ” the most powerful AI computing system in the world ” and was developed for the US Department of Energy by the Energy Technology Laboratory. Researchers put the Cerebral CS-1 to the test by simulating combustion inside an engine.
They provided the supercomputer with all the necessary data on the operating conditions of the engine. Then, the researchers waited for its 1.2 trillion transistors to analyze the data and simulate the powertrain’s future conditions.
The Cerebral CS-1 detected over a million variables, including 3D air movement and fluctuating temperatures, and analyzed them to show the possible future of the powertrain faster than in real-time.
” When CS-1 is used to simulate a power plant based on data on its current operating conditions, it can tell you what will happen in the future faster than the laws of physics produce the same result, ” the researchers’ blog read.
The Cerebral team is planning to launch a second-generation CS chip that will contain 2.6 trillion transistors. Until then, they will use the existing CS-1 chip to train neural networks and simulate advanced simulations of real-world scenarios.
What do you think?