Apple is Opening a Pandora’s Box

Before you start reading this article, I would ask you to give yourself five minutes and read this article by listening to the following beautiful song.

https://www.youtube.com/watch?v=WBugBEWVnpA

Most of the people around me know that I am not an apple fan. Especially after they moved from their RISC-based PowerPC processors to Intel, I have thought they were no longer offering an innovative approach in terms of technology. Until this day…

Apple announced the new ARM-based processor M1 on 10 November 2020. M1 has an 8-core CPU consisting of four high-performance cores and four high-efficiency cores. It has also the World’s fastest integrated GPU including 8-core with 2.6 teraflops of throughput. These are great values ​​for users who need performance, especially for video processing and gaming. It can be discussed here why 8 core CPUs do not have 16 processing threads such as Intel and AMD, but I do not want to go away from the purpose of the article.

While everyone was talking about Apple’s transition from Intel back to their processors, they were missing the real point. Apple was revolutionizing the paradigm about the CPU.

Apple’s new chip M1 also boasts a 16-core neural engine capable of 11 trillion operations per second. Immediately afterwards, Apple has released its fork of the TensorFlow 2.4 machine learning framework, specifically optimized for its newly released M1 processor on 18 November 2020. Although these are values ​​in the paper, I think they have a serious counterpart in practice.

Tensorflow is an end-to-end open-source machine learning platform. NVIDIA which produces graphics processors with CUDA core where is most used for Tensorflow, and they acquired ARM for $ 40 Billion on 13 September 2020. Apple now manufactures a processor under the technology license of the company owned by NVIDIA. Again with this processor, it will compete with Nvidia in machine learning.

What is more interesting is that everything necessary for machine learning now comes with standard equipment without the need for high-end technology equipment. I am looking forward to how Intel, AMD and Nvidia will respond to this issue.

But the real point is that machine learning will now become an inevitable part of our daily life, and this process will take place much faster than expected.