The Price We Pay for Computing: Reducing the Cost of Technology

TLDRThe cost of computing and deep learning has been reduced by a factor of one million in the last decade. With the marginal cost of computing nearing zero, new possibilities emerge, such as scraping and understanding all digital human knowledge. This breakthrough has enabled a new way of doing software and has the potential to revolutionize various industries.

Key insights

💲The cost of computing and deep learning has reduced by a factor of one million in the last decade.

📚With the marginal cost of computing nearing zero, it is now possible to scrape and understand all digital human knowledge.

💡Reducing the cost of computing has enabled a new way of doing software.

🚀This breakthrough has the potential to revolutionize industries and pave the way for new innovations.

💰The TCO (Total Cost of Operations) of NVIDIA's computing platform is so good that even when competitor's chips are free, it's not cheap enough.

Q&A

How much has the cost of computing been reduced in the last decade?

—The cost of computing and deep learning has been reduced by a factor of one million in the last ten years.

What is the marginal cost of computing?

—The marginal cost of computing refers to the cost of producing one additional unit of computing power. With advancements in technology, the marginal cost of computing is nearing zero.

What are the potential applications of scraping and understanding all digital human knowledge?

—Scraping and understanding all digital human knowledge can revolutionize various industries, including education, research, healthcare, and more. It enables the extraction of valuable insights and the development of innovative solutions.

How has reducing the cost of computing enabled a new way of doing software?

—By reducing the cost of computing, it becomes economically feasible to pursue complex software projects that were previously not practical. This opens up opportunities for advanced applications, such as artificial intelligence, big data analysis, and machine learning.

What are the advantages of NVIDIA's computing platform in terms of cost?

—NVIDIA's Total Cost of Operations (TCO) is highly competitive. Even when competitor's chips are free, the overall cost-effectiveness of NVIDIA's platform makes it a preferred choice for many organizations.

Timestamped Summary

00:00The cost of computing and deep learning has been reduced by a factor of one million in the last decade.

00:25Advancements in computing have enabled the scraping and understanding of all digital human knowledge.

03:50Reducing the cost of computing has opened up new possibilities for innovative software development.

07:25NVIDIA's computing platform offers a highly cost-effective solution compared to competitors, even when their chips are free.

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