AI's Growing Energy Demand ⚡

AI innovation is heavily reliant on energy and power production. Will energy scale as fast as AI and LLM has been? This is especially a pertinent topic as US and China are competing in the AI space for faster and more effective artificial intelligence system.
Let's find out why Nvidia chips, natural gas, coal, gas, nuclear, solar, and other energy sources are important in AI innovation and how this is panning out in the AI industry as whole.

#AI #Energy #llm

Woven Link:
https://www.woventeams.com/caleb/?utm_source=youtbue&utm_medium=calebwritescode&utm_campaign=caleb&utm_id=caleb

Chapters
00:00 Why AI Models Need Power
00:34 Pre-Training (Energy)
01:54 Tensor Parallelization
03:22 Pipeline Parallelization
04:36 Data Parallelization
05:30 GPT-4 Energy Demand
06:41 Deployed Model Energy Demand
07:00 Sponsorship: Woven
07:37 GPT-4 Deployed Energy Demand
09:19 Cooling
09:52 Future Energy Demands
10:18 xAI, OpenAI, Meta, Google
11:16 China Energy Supply
11:45 Bigger Picture