Thursday, March 2, 2023

Yup

 


Those guys 

and him.



Nvidia CEO Jensen Huang speaks during a press conference at The MGM during CES 2018 in Las Vegas on January 7, 2018.


Meet the $10,000 Nvidia chip powering the race for A.I.


"The A100 has become the “workhorse” for artificial intelligence professionals at the moment, said Nathan Benaich, an investor who publishes a newsletter and report covering the AI industry, including a partial list of supercomputers using A100s. Nvidia takes 95% of the market for graphics processors that can be used for machine learning, according to New Street Research."

(It's always good for one company to have that much market share right?

Always works out good in the end etc.?)


"The A100 is ideally suited for the kind of machine learning models that power tools like ChatGPT, Bing AI, or Stable Diffusion. It’s able to perform many simple calculations simultaneously, which is important for training and using neural network models.'

"The technology behind the A100 was initially used to render sophisticated 3D graphics in games. It’s often called a graphics processor, or GPU, but these days Nvidia’s A100 is configured and targeted at machine learning tasks and runs in data centers, not inside glowing gaming PCs."

"Big companies or startups working on software like chatbots and image generators require hundreds or thousands of Nvidia’s chips, and either purchase them on their own or secure access to the computers from a cloud provider."


(Revelation 13:14-15

And deceiveth them that dwell on the earth by the means of those miracles which he had power to do in the sight of the beast; saying to them that dwell on the earth, that they should make an image to the beast, which had the wound by a sword, and did live.

And he had power to give life unto the image of the beast, that the image of the beast should both speak, and cause that as many as would not worship the image of the beast should be killed.

9I mean how much clearer can it possibly be?)


“A year ago we had 32 A100s,” Stability AI CEO Emad Mostaque wrote on Twitter in January. “Dream big and stack moar GPUs kids. Brrr.” Stability AI is the company that helped develop Stable Diffusion, an image generator that drew attention last fall, and reportedly has a valuation of over $1 billion."

"Now, Stability AI has access to over 5,400 A100 GPUs, according to one estimate from the State of AI report, which charts and tracks which companies and universities have the largest collection of A100 GPUs — although it doesn’t include cloud providers, which don’t publish their numbers publicly."


"Nvidia shares are up 65% so far in 2023, outpacing the S&P 500 and other semiconductor stocks alike."

"Nvidia CEO Jensen Huang couldn’t stop talking about AI on a call with analysts on Wednesday, suggesting that the recent boom in artificial intelligence is at the center of the company’s strategy."

The activity around the AI infrastructure that we built, and the activity around inferencing using Hopper and Ampere to influence large language models has just gone through the roof in the last 60 days,” Huang said. “There’s no question that whatever our views are of this year as we enter the year has been fairly dramatically changed as a result of the last 60, 90 days.”






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