AI Index / NVIDIA Corporation
NVIDIA Corporation (NVDA)
NVIDIA Corporation leverages AI to accelerate computing through its GPU technology, which is widely used in AI applications across industries such as healthcare, automotive and telecommunications. Its AI Enterprise platform enables businesses to deploy and scale AI models in cloud environments, with specific services like NVIDIA NeMo and Picasso offering tools for building large language and generative AI models. NVIDIA's contribution to AI also includes innovations in deep learning, making its GPUs essential for tasks like AI training, which has transformed sectors such as autonomous driving and medical diagnostics​.
map-pin
Location: US
dollar-sign
Market Cap: $5.5T
link
https://www.nvidia.com
Loading...
Demand for AI infrastructure continues to expand at an unprecedented pace. The build out of AI factories is accelerating. The value of NVIDIA AI infrastructure is rising.
- Colette Kress

Content

Quotes from nvidia Executives About Artificial Intelligence and Generative AI
AI is no longer a nice to have. AI is now a necessity for enhancing productivity across all industries and roles.
- Colette Kress
Our Blackwell architecture is everywhere. Adopted, and deployed by every major hyperscaler every cloud provider, and every major model maker.
- Colette Kress
In the future, it is gonna be about personal AI. And that personal AI, one example of it is the self-driving car.
- Jensen Huang
The world's largest suite of acceleration libraries in the world from computational lithography to fluid dynamics to particle physics to molecular dynamics to the list goes on.
- Jensen Huang
We are growing share in inference very, very quickly. And the reason for that is this year, the number of frontier model companies grew.
- Jensen Huang
So we are gaining share tremendously fast in inference. VeraRubin is going to be even more successful than Grace Blackwell at this point.
- Jensen Huang
I expect the second category to be larger over time both in the near term over the next several years.
- Jensen Huang
And I think whether it is 20% or 10% just depends on where we are in the development of AI. I think today, it is a lot less than 20%.
- Jensen Huang
AI native clouds do not build chips, do not design their own chips. And their time their patience, their tolerance for time to first token is extremely low.
- Jensen Huang