This supercomputer chip can invent the future “quicker than this law of physics”

As we move into the future, IT groups are making their chipsets more also 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. But, no matter how fast Apple’s new computer chips are, I’m sure they can’t invent the future “faster than the laws of physics.” Well, it turns out that there is a supercomputer chip that can accomplish the aforementioned task.

Nicknamed the Cerebral CS-1 chip, this 462-square-centimeter chipset is currently the largest chip in this world, receiving around 1.2 trillion transistors. That’s a 75000% increase in the number of transistors compared to Apple’s latest SoC.

It is called “the most powerful AI computer system in this world” also it was developed for the US Department of Energy by this organization’s Energy Technology Laboratory. Researchers recently put Cerebral CS-1 to the test by inventing combustion inside a power plant.

They supplied all the necessary data on the current operating conditions of the power plant to the supercomputer. These researchers then waited for its 1.2 trillion transistors to analyze this data and invent the future condition of the power plant.

The Cerebral CS-1 took more than a million variables, including 3D air movement and fluctuating temperatures, and analyzed them to show the possible future of the power plant faster than in real-time.

“The CS-1 is the first system that becomes demonstrated sufficient performance to simulate more than one million fluid cells quicker than in real-time. This suggests that when the CS-1 is used to simulate a power plant based on data regarding its current working conditions, it can show you what is going to happen in the future faster than the laws of physics provide the Same result, ”read a blog post from the researchers.

Moving forward, Cerebral’s team plans to originate a second-generation CS chip that will receive 2.6 billion transistors. Until then, others will use this existing CS-1 chip to prepare neural networks also invent advanced simulations of real-world scenarios.

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