AI FAQs
Frequently asked questions about AI, data centers, chips, and more.
What is artificial intelligence?
Artificial intelligence is a field within computer science that enables computers to learn from data, recognize patterns, solve complex problems, and generate outputs.
AI can simulate the complex thought and reasoning patterns of humans.
What are large language models (LLMs)?
LLM’s are a type of artificial intelligence learning models trained to predict and generate natural, human-like text by learning statistical patterns in large datasets.
LLMs gained public attention with the release of ChatGPT in 2022.
What are data centers for?
Data centers are physical facilities that provide the infrastructure for data storage, compute, and inference.1
They are needed to both train new AI models and power user interactions with an LLM.
Large data centers have been around for decades, powering the era of cloud infrastructure—AI is just a portion of data center usage.2
What are chips?
Chips (or semiconductors) are small pieces of physical hardware that perform the calculations to power modern electronics.
They are the “brains” inside computers, phones, cars, and data centers.
AI relies on highly specialized chips that are very challenging and expensive to produce, making them one of the most important parts of the AI buildout.
What is AGI?
Artificial General Intelligence (AGI) refers to a theoretical concept of an AI that exhibits general intelligence and capability equal to or beyond that of a human.3
There is no consensus definition for what exactly AGI is or how to measure it.
The term is frequently invoked when discussing dystopian, terminator-like AI.