# A lab for the future of computing

By 2030, semiconductors will allow us to integrate a trillion transistors in a single chip. AI models will have trillions of parameters and many trillions of tokens of data inside them. With quantum computing, we're going to be able to represent information that have numbers like 2 to the power of 100. We believe that the future of computing lies in the successful convergence of classical, AI, and quantum computing platforms, that is, the seamless use of all of them to solve problems that have been previously unsolvable. Take a look inside our newest working compute lab, a physical manifestation of what's next in computing.

AImodels #highperformancecomputing #semiconductors #quantumcomputing

- Kind: Short
- Year: 2024
- Runtime: 1 min
- By: IBM Research
- Genres: History
- Archive: [Wikimedia Commons](https://commons.wikimedia.org/wiki/File:A_lab_for_the_future_of_computing.webm)
- Licence or status: [CC BY 3.0](https://creativecommons.org/licenses/by/3.0) (as the archive states it)
- Credit: IBM Research
- Who can watch: Tweens profiles and older (the archive gives no rating; placed by Invisible Network from its collection and subjects)

[Watch now](https://invisiblenetwork.ai/watch/archive/commons/152035235?play=1)