- cross-posted to:
- hardware@lemmit.online
- cross-posted to:
- hardware@lemmit.online
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Getting into business unit specifics, Nvidia’s Data Center group chalked-up $14.5 billion in revenue for the quarter, resulting in a 41% sequential gain and a massive 279% quarter on quarter lift over the same period last year. Nvidia’s Data Center business is also likely its highest margin business, where the company’s GPU accelerator technology has become the de facto standard for AI workload processing. ““Our strong growth reflects the broad industry platform transition from general-purpose to accelerated computing and generative AI,” noted Jensen Huang, founder and CEO of Nvidia. “Large language model startups, consumer internet companies and global cloud service providers were the first movers, and the next waves are starting to build. Nations and regional CSPs are investing in AI clouds to serve local demand, enterprise software companies are adding AI copilots and assistants to their platforms, and enterprises are creating custom AI to automate the world’s largest industries.”
resulting in a 41% sequential gain and a massive 279% quarter on quarter lift over the same period last year.
Am I stupid, or does this mean 41% quarter on quarter and 279% year on year?
In a sense yes.
their current quarter was 279% larger than the same quarter last year. Which is insane.
I do wonder when the AI bubble is gonna burst. Certainly it can’t be this popular forever, right?
Its not a bubble
Its something like the internet Here to stay
r/hardware’s daily routine is gargling Jensen’s balls so don’t worry about it.
Its balanced by people who Jensen stole their girlfriends or killed their moms I guess.
AI will touch every part of society and will be just as big or bigger than the internet revolution.
That doesn’t at all mean there will not be a dotcom bubble burst equivalent in the space. Right now there is a huge torrent of money flowing into it which is in stark contrast to how relatively few revenue streams have materialised and their actual long term financial viability is fuzzy.
Remember 4y ago, when 5G was the next big thing?
Self-driving cars thanks to 5G?
Every industry will be transformed and every single production line will have a 5G campus network.
We will only stream games over 5G!
5G was so frigging important, we needed to ban Huawei from building cell towers because otherwise, they could shut down our whole economy because our whole economy depends on 5G?
Well, that turned out to be a hype. Of course, it did not go away, just like AI will not go away. But it will have a completely different focus, than what most think now. I see a bigger future for AI in girlfriend simulators or user preference adult movies than in replacing STEM jobs.
Except the difference is that anyone with a brain can figure out that 5G is just faster internet. Most applications aren’t limited by slow internet speeds. LTE is usually enough.
The AI hype is just different. It’s real in my opinion.
Anyone with a brain can figure out that ChatGPT is just more accurate predictive text. “AI” is a massive misnomer, it’s just fuzzy pattern recognition. Even LLMs are just predicting what word comes next over and over.
It can be a very useful tool, but it’s wholly incapable of doing anything but regurgitating mashups of its training data.
Not this shit again.
Well, I for one am very glad that you were here to figure it all out for us dumb dumbs.
Truly, we might not have understood the limitations of this new and misunderstood technology.
I am not denying that and totally agree. But it was still enough to scare gov into banning huawei.
And I am also not claiming that Ai is not real. The question is more, for what? I think some use cases are currently undervalued (like adult entertainment) while some are overvalued (Ai replacing coders)
I’m a software dev. AI might be closer to replacing devs than you think. At least low level devs.
Good take. AI is, at the end of the day, a buzzword. Machine Learning is simply not the same as true AI, and while Machine Learning’s acceleration has been impressive as well as frightening, it’s not the coming of Skynet. All the fearmongering about AI’s potential that deliberately references our cultural touchstone examples of dangerous AI is all just part of the hype machine, it’s simply not there yet, and wont be for a good chunk of time - but making the gullible public and idiotic investors think it’s that impressive? Well, that makes your company sound like a good investment!
We also simply apply the batch AI to stuff we already did years ago but did not call it AI back then. Like, Airbus using machine learning to find better and lighter shapes for airplane parts.
And for stuff like writing code, it turns out to be not as helpful as expected. It is impressive for coding noobs like me. According to people I know that code for a living, it is not that big of a deal. A nice addition that helps a little bit on some tasks.
AI really shines in tasks where accuracy is not important. Like making up stories, drawing pictures, creating designs and logos, and writing buzzword PR. And of course rule 34!
Yeah, like, I remember reading about Machine Learning practising StarCraft 2 back in like… 2014? Haha
And for stuff like writing code, it turns out to be not as helpful as expected.
This is not a good judgment and is just taking the ChatGPT user interface at surface value.
It has simply been that LLMs like GPT4 have not been allowed to use tools to write programs outside of lab conditions, so it’s the equivalent of you running code in your head based on what is already in your memory.
Once an LLM has access to compilers or interpreters that run code, they can feedback their own mistakes into the next prompt and write working code. We already know that GPT4 can learn python, bash and other interpreted languages by simply allowing it to use the tools and allowing it to feed results back into new prompts. It can also tell which tool to use, based on the input.
The concept of tool use in LLMs is almost the same as for humans in amplifying a specific ability, such as using a calculator for numerical computations or using an SQL database to manage large tables of information.
The tool use that ChatGPT allows today is simply prompting search engines or Dall-E, reading some webpages as input prompts, but there is no feedback loop allowed for fact checking itself.
All I remember is conspiracy theorists freaking out it will kill us all lol
Haha, I totally forgot these nutjobs. They probably already moved on to other topics :)
As soon as we have Skynet.
U need to learn 1st what Ai actually is.
It is next movement for humanity.
It is the single biggest invention of modern human civilizaiton.
In next 10-20 years, most basic jobs will move to Ai bots.
I mean the average cost of a 4090 is now $2000 USD so rather than products depreciating, the brand adds further value to itself while further expanding profits.
I paid msrp for mine
Reducing supply adds further value?
Lmao
Blessed be Lord Jensen’s name!
So why did the stock slip? Sell the news?
Stocks are forward looking. The fact that they did well last quarter is nice and all but they were predicting drops in sales in China. So the market reacted by dropping Nvidia price.
Nvidia stock has been priced for about tenfold growth already. Unless they literally grow 1000% there is little reason for the price to move.
That’s what I said in 2016 😮💨
Probably because every large LLM provider is trying to develop their own silicon to run their models.
It was priced in already
So stock owners did sell the news
This was already discussed in this subreddit yesterday, with the original source: https://www.reddit.com/r/hardware/comments/180sz9i/comment/ka7zcpg/
$2.8 billion in consumer GPU, $14.5 billion in enterprise.
The next person who wants to complain about 4090 pricing, remember that.
NVidia would do good to just stop making consumer GPU’s and devote more fab time for enterprise chips, which there is also a shortage of. Luckily, Jensen still has love for gamers. But they’re probably losing money by making them, compared to what they could have made in industry.
It’s truly impressive how they manage to find another infinte money glitch every few years, each one with more exploding demand and even more scaled up products.
He’s probably the best CEO in the US. Built Nvidia from nothing to $1.2 trillion company over ~30 years.
Hardly, he took a punt on AI and has rode the wave ever since.
AI is just the latest result of CUDA. I doubt he ganbled on AI when CUDA was first developed. But that’s when they won the compute market. Winning the AI race, is a result of multiple smaller wins, that had little to do with AI.
The guy literally made the right decisions for 30years. I think at some point it might just be skill and not luck.