The Thinking Machine: Jensen Huang, Nvidia, and the World’s Most Coveted Microchip
Stephen Witt
"The riveting investigative account of Nvidia, the tech company that has exploded in value for its artificial intelligence computing hardware, and Jensen Huang, Nvidia's charismatic, uncompromising CEO In June of 2024, spurred by the frenzy of investment following the launch of ChatGPT, and thirty-one years after its founding in a Denny's restaurant, Nvidia became the most-valuable corporation on Earth. In The Thinking Machine, acclaimed journalist Stephen Witt recounts the unlikely story of how a manufacturer of video game components shocked Silicon Valley by conquering the market for AI hardware, and in the process re-invented the computer. Essential to Nvidia's meteoric success is its visionary CEO Jensen Huang, who more than a decade ago, on the basis of a few promising scientific results, bet his entire company on AI. Through unprecedented access to Huang, his friends, his investors, and his employees, Witt documents for the first time the company's epic rise and its iconoclastic CEO, who emerges as a compelling, single-minded, and ferocious leader, and now one of Silicon Valley's most influential figures. The Thinking Machine is the story of how Nvidia evolved from providing components for circuit boards to supplying hundred-million dollar supercomputers.
Award History
1 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| FT Business Book of the YearMajor | 2025 | Winner | Secondary source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
- Jensen Huang90%
02 Central places
None extracted with sufficient confidence.
03 Suggested argument
Nvidia’s rise in AI hardware—and the reinvention of the computer—rests on Jensen Huang’s decision to bet the company on AI based on early scientific results.
Model confidence 62%
04 Reading orientation
35 / 100 academicSerious trade
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 78%.