Posted August 7, 2023

With software becoming more important than ever, hardware is following suit.

As the world generates more data, unlocking the full potential of AI means a constant need for faster and more resilient hardware. But how much does this all really cost?

In this final segment of our AI hardware series, we tackle that question head on.

Show Notes

00:00 – The cost of compute

02:20 – Is this sustainable?

03:23 – The cost to train a model

05:39 – Computation requirements

09:05  – The relationship between compute, capital, and technology

11:15 – GPT4 commenting on the technology with help from ElevenLabs

More About This Podcast

The a16z Podcast discusses the most important ideas within technology with the people building it. Each episode aims to put listeners ahead of the curve, covering topics like AI, energy, genomics, space, and more.

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