Nvidia at the Center of the Generative AI Ecosystem—For Now
This column explores several questions behind Nvidia’s extraordinary history and position in the center of the Generative AI ecosystem. Founded in 1993, Nvidia developed graphical processing units (GPUs) for gaming on PCs and other devices. The architecture of these devices from 2006 -- ma...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
ACM|Communications of the ACM
2024
|
| Online Access: | https://hdl.handle.net/1721.1/153301 |
| _version_ | 1826200689672454144 |
|---|---|
| author | Cusumano, Michael |
| author2 | Sloan School of Management |
| author_facet | Sloan School of Management Cusumano, Michael |
| author_sort | Cusumano, Michael |
| collection | MIT |
| description | This column explores several questions behind Nvidia’s extraordinary history and position in the center of the Generative AI ecosystem. Founded in 1993, Nvidia developed graphical processing units (GPUs) for gaming on PCs and other devices. The architecture of these devices from 2006 -- many simple compute cores running at very high speeds in parallel -- was very useful for graphics and, it turned out, very useful to power AI/ML software and neural networks in particular. Nvidia also developed proprietary software from 2006 to support these applications, and later optimized that software for Generative AI Large Language Models and inference engines. |
| first_indexed | 2024-09-23T11:40:20Z |
| format | Article |
| id | mit-1721.1/153301 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:40:20Z |
| publishDate | 2024 |
| publisher | ACM|Communications of the ACM |
| record_format | dspace |
| spelling | mit-1721.1/1533012024-07-11T19:10:54Z Nvidia at the Center of the Generative AI Ecosystem—For Now Cusumano, Michael Sloan School of Management This column explores several questions behind Nvidia’s extraordinary history and position in the center of the Generative AI ecosystem. Founded in 1993, Nvidia developed graphical processing units (GPUs) for gaming on PCs and other devices. The architecture of these devices from 2006 -- many simple compute cores running at very high speeds in parallel -- was very useful for graphics and, it turned out, very useful to power AI/ML software and neural networks in particular. Nvidia also developed proprietary software from 2006 to support these applications, and later optimized that software for Generative AI Large Language Models and inference engines. 2024-01-10T18:37:28Z 2024-01-10T18:37:28Z 2023-12-21 2024-01-01T08:51:42Z Article http://purl.org/eprint/type/JournalArticle 0001-0782 https://hdl.handle.net/1721.1/153301 Cusumano, Michael. 2023. "Nvidia at the Center of the Generative AI Ecosystem—For Now." en https://doi.org/10.1145/3631537 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The author(s) application/pdf ACM|Communications of the ACM Association for Computing Machinery |
| spellingShingle | Cusumano, Michael Nvidia at the Center of the Generative AI Ecosystem—For Now |
| title | Nvidia at the Center of the Generative AI Ecosystem—For Now |
| title_full | Nvidia at the Center of the Generative AI Ecosystem—For Now |
| title_fullStr | Nvidia at the Center of the Generative AI Ecosystem—For Now |
| title_full_unstemmed | Nvidia at the Center of the Generative AI Ecosystem—For Now |
| title_short | Nvidia at the Center of the Generative AI Ecosystem—For Now |
| title_sort | nvidia at the center of the generative ai ecosystem for now |
| url | https://hdl.handle.net/1721.1/153301 |
| work_keys_str_mv | AT cusumanomichael nvidiaatthecenterofthegenerativeaiecosystemfornow |