2024 BrainChip Discussion, page-9012

Just saying....maybe need to look at the fundamental differences when comparing. Also, is Apple your only go to in the various industries moving to the edge?

Leave you to it.

https://www.digitaltrends.com/computing/what-is-npu/

"Apple has been using an NPU in its chips for years now, so they aren’t exactly brand new. And yet, being heralded as the “next big thing” across various industries, they’re more important than ever."

What is an NPU?

At its core, an NPU is a specialized processor explicitly designed for executing machine learning algorithms. Unlike traditional CPUs and GPUs, NPUs are optimized for handling complex mathematical computations integral to artificial neural networks.

They excel in processing vast amounts of data in parallel, making them ideal for tasks like image recognition, natural language processing, and other AI-related functions. For example, if you were to have an NPU within a GPU, the NPU may be responsible for a specific task like object detection or image acceleration.

NPU vs. GPU vs. CPU: Understanding the differences

While GPUs (graphics processing units) are proficient at parallel processing and are often used in machine learning, NPUs take specialization a step further. GPUs are versatile and excel in handling graphics rendering and parallel tasks, while CPUs (Central Processing Units) are the general-purpose brains of a computer, handling a wide range of tasks.

NPUs, however, are purpose-built for accelerating deep learning algorithms. They are tailored to execute specific operations required for neural networks. This degree of specialization allows NPUs to deliver significantly higher performance for AI workloads compared to CPUs and even GPUs in certain scenarios.

https://www.google.com.au/amp/s/m.gsmarena.com/apple_introduces_the_new_a18_and_a18_pro_chipsets_iphone_16_series-amp-64462.php?espv=1

Apple introduces its new A18 and A18 Pro chipsets, powering the latest iPhone 16 Series

09 September 2024