The Nvidia Way
Download The Nvidia Way PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get The Nvidia Way book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
The Nvidia Way
"[L]oaded with fascinating details about Huang’s unusual leadership style and maniacal work habits." —Ben Cohen, Wall Street Journal "The definitive look at the most remarkable business story of this era." —Morgan Housel, New York Times best-selling author of The Psychology of Money and Same As Ever A deeply reported business history of the chip-designer Nvidia—from its founding in 1993 to its recent emergence as one of the most valuable corporations in the world—explaining how the company’s culture, overseen by cofounder and CEO Jensen Huang, has powered its incredible success. Nvidia is the darling of the age of artificial intelligence: its chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a Denny’s in East San Jose, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure. In The Nvidia Way, acclaimed tech writer Tae Kim draws on more than one hundred interviews—including Jensen (as he is known) and his cofounders, the two original venture capital investors, early former employees, and current senior executives—to show how Nvidia played the longest of long games, repeatedly creating new markets and outmaneuvering competitors, including the original semiconductor giant, Intel, which now finds itself well behind the upstart. Kim offers revelations at every step, among them: An authoritative, myth-busting account of Nvidia’s founding in 1993. How Nvidia managed to overcome early missteps that would have killed most start-ups. The benefits of Nvidia’s flat organizational structure, which allows even low-level employees to contribute to the direction of the company. How Jensen’s obsession with solving the Innovator’s Dilemma—the problem of an entrenched market leader falling to smaller, nimbler companies—drove him to reinvent his approach to corporate strategy. How Nvidia saw the coming AI wave sooner than anyone else, and how it bet its future on a technology that had not yet arrived. A rare view into Nvidia’s distinct culture and Jensen’s management principles, The Nvidia Way is a book for our moment as well as an instant classic of business history, with enduring lessons for entrepreneurs and managers alike.
Summary of Tae Kim's The Nvidia Way
Buy now to get the main key ideas from Tae Kim's The Nvidia Way How did Nvidia transform from a small start-up into a trillion-dollar company? Tech writer Tae Kim chronicles the company’s rise in The Nvidia Way (2024). Co-founded by Jensen Huang, Curtis Priem, and Chris Malachowsky, Nvidia first thrived in the world of computer gaming. Today, its chips are at the heart of generative AI. With Jensen’s hands-on leadership, Nvidia overcame challenges and foresaw the AI wave. Kim explores Nvidia’s intense corporate culture and key strategic decisions, offering key lessons for entrepreneurs and managers.
Applications, Tools and Techniques on the Road to Exascale Computing
Single processing units have now reached a point where further major improvements in their performance are restricted by their physical limitations. This is causing a slowing down in advances at the same time as new scientific challenges are demanding exascale speed. This has meant that parallel processing has become key to High Performance Computing (HPC). This book contains the proceedings of the 14th biennial ParCo conference, ParCo2011, held in Ghent, Belgium. The ParCo conferences have traditionally concentrated on three main themes: Algorithms, Architectures and Applications. Nowadays though, the focus has shifted from traditional multiprocessor topologies to heterogeneous and manycores, incorporating standard CPUs, GPUs (Graphics Processing Units) and FPGAs (Field Programmable Gate Arrays). These platforms are, at a higher abstraction level, integrated in clusters, grids and clouds. The papers presented here reflect this change of focus. New architectures, programming tools and techniques are also explored, and the need for exascale hardware and software was also discussed in the industrial session of the conference.This book will be of interest to all those interested in parallel computing today, and progress towards the exascale computing of tomorrow.