1 min read

Microsoft AI CEO Says Frontier Model Training Could Cost $100 Billion

Mustafa Suleyman said five or six labs, including Microsoft AI, can assemble gigawatts of computing power. He also said inference costs fell 300-fold over two years.

A power distribution unit beside a glass-walled computing facility / TokenPost.ai
A power distribution unit beside a glass-walled computing facility / TokenPost.ai

Microsoft AI CEO Mustafa Suleyman said frontier artificial intelligence training runs could eventually cost as much as $100 billion, underscoring the scale of investment required to develop the most advanced models.

He described possible costs as “many, many tens of billions of dollars if not a hundred billion dollars.” The $100 billion estimate is a forecast, not a budget announced for a Microsoft project.

Suleyman said five or six labs, including Microsoft AI, have the resources to assemble gigawatts of computing power. He did not name the other labs or provide a cost breakdown.

In a Sept. 28 interview, Suleyman also said inference costs — the expense of using a trained model to generate responses — had fallen 300-fold over the previous two years.

His remarks describe contrasting cost trends: frontier training may become more expensive while inference costs have fallen. They do not establish whether lower inference costs will offset the expense of training.

Simon Yoon

Reporter

Simon Yoon reports on blockchain technology for TokenPost. Send corrections or tips to info@tokenpost.com.

Loading…