machine learning | Accelerated Calculation | A.I
An analysis of the key computer hardware used to run AI with new powerful capabilities.
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This article describes Groq, a new approach to computer hardware that is revolutionizing the way AI is applied to real-world problems.
Before we talk about Groq, let’s break down what AI fundamentally is and look at some of the key components of computer hardware used to run AI models. in other words; CPU, GPU, TPU. We’ll look at these important pieces of hardware, starting with the 1975 Z80 CPU, and then explore some important advancements in computer hardware to build our understanding of modern systems.
With an understanding of some basic concepts and pros and cons of computer hardware, let’s take a look at what Groq is, how it revolutionizes AI computation, and why it matters.
Naturally, there’s a lot to cover between early CPUs and multibillion-dollar cutting-edge AI startups. So this turned out to be quite a long post. Buckle up. It’s worth it.
Who is this useful for? Anyone interested in artificial intelligence and the realities required to run AI models.
How advanced is this post? This post contains cutting-edge ideas from cutting-edge AI startups and is explained without any prior knowledge. Relatable to all levels of readers.
precondition: doesn’t exist. However, there is a curated list of resources at the end of the article to help you read related material.
Disclaimer 1: This article is not about Elon Musk’s chat model “Grok”. Groq and Grok are completely unrelated except that they are based on the book of the same name.
Disclaimer 2: While writing this I am not affiliated with Groq in any way. All opinions are my own and not sponsored. And thank you too…