- cross-posted to:
- aistuff@lemdro.id
- cross-posted to:
- aistuff@lemdro.id
Nvidia reveals new A.I. chip, says costs of running LLMs will ‘drop significantly’::Currently, Nvidia dominates the market for AI chips, with over 80% market share, according to some estimates.
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Nvidia has always been a tech company that also happens to make consumer graphics cards.
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Yeah, I misspoke there, but for most of recent memory they’ve been doing big things besides consumer graphics cards. Nvidia launched its professional oriented graphics Quadro product line in 2000. They launched CUDA architecture in 2006 which opened up parallel processing capabilities of GPUs for use in science and research. They entered the data center and cloud computing market in the early 2010s, and in 2015 they launched the DRIVE product line.
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Until the geforce3/radeon8500 GPUs weren’t programmable, and then you’re looking at the geforce8 in 2007 when CUDA came into it. They’ve been building up to this a long time, including data centre cards. This isn’t a new thing recently, they’re trying to get the most reward out of what they’ve been investing into while the wave lasts.
As much as I’d love to do an upgrade to my PC, gamers definitely don’t own the type of technology. It’s like some people hoping for VR gaming to take off, even if gaming was where a lot of the technologies that it relies upon ‘grew up’, there’s no obligation that VR gaming had to be a thing. Companies definitely don’t care where their money comes from.
Companies definitely don’t care where their money comes from.
They definitely do and I think NVIDIA doesn’t want their money to come customers who DIY build PC towers.
I don’t think NVIDIA minds the money they get from the DIY builders market, but they get a lot more money from OEMs. They shouldn’t neglect the DIY market, though. If the enthusiasts stop recommending their GPUs then big OEMS will eventually drop them too.
AI is just in a gold rush right now. Companies are throwing around piles of money to develop it.
Intel are the real black horse to watch regarding OEMs, if they can get a good CPU+GPU or APU offering bundled up then I can see that being a threat. They’re already kicking AMD’s ass in the CPU department (in terms of sales) for OEM machines because of the good relationships they have with the big builders.
That said, intel also has designs on GPUs for servers. It also relies on Arc not shitting the bed, but you can say that about any company - for the foreseeable future I don’t think they need to be high-end, just competent and with a pricing wedge between them and nvidia/AMD.
And before that it was a bit mining company, with a side line of gaming graphics hardware.
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It’s always been that way. Whether it’s been AI or something else. Nothing wrong with that.
Not all bad, compared to crypto the vector transformations done for ml are relatively similar to those done by graphics processing. So any innovations on the ml front will probably yield improvements in graphics.
Company focusing on their profits and not my 4k dlss witcher 3 ?!?!
I’m sure the cost to the consumer will remain exactly the same, or somehow increase.
I’m not worried about that. There will be open competition, because most of this stuff is open-source. Cheaper hardware will open the door for anyone like you or me to set up our own services. Anyone can set up a server with their own hardware (or rent it from Amazon or wherever) and run their own chatbot (with blackjack! and hookers!) instead of using ChatGPT.
This is already possible on consumer hardware, just not with the biggest and best networks. Right now, if I wanted to run, say, BLOOM (an open-source LLM), I’d need to spend close to $100K on hardware. Obviously, that’s out of reach for a hobbyist, so I’m limited to using smaller, less advanced networks like LLaMa or GPT-J. Cheaper hardware will help break the hold that the big players currently have over the industry.
if I wanted to run, say, BLOOM (an open-source LLM), I’d need to spend close to $100K on hardware
Doesn’t that dozens of notes with over a terabyte of RAM each? And state of the art networking?
Sounds closer to $100M than $100K.
If you want to train your own network like they did, you’d want something like that, yeah, but to run the trained network you “only” need ~360GB of memory.
For context, even if you wanted to run this in CPU, there are currently no A5 mobos (Ryzen 7000 series) that support more than 192GB of memory. You literally can’t even run it on high-end consumer hardware.
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I’m liking AMD still. They’re not perfect of course but they seem to have far less fuckery going on than Intel and Nvidia, and they have open source drivers that play nice with Linux.
I always have this thought in the back of my mind too, but the issue is that while raw performance is a bit better than the counterparts, Nvidia still offers more features for the money, and I don’t always have money to throw away. Typically i’d upgrade my gpu once every 5 years or so
AI might not survive the next decade? I already use it every day at work. The productivity gains are enormous and far from saturated. I think it’s more likely that AI will survive and consumers (humans) will not survive.
I think people simultaneously overestimate the capability of current machine learning models while underestimating their long term impact. These models are going to be in everything. They are very resource hungry and will absolutely be a driver of hardware innovation for the next decade and probably longer.
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fuck nvidia - but this comment won’t age well
How are they killing their consumer market? If they change their mind and put out a better gpu people will buy it.
You’ve answered your own question. They used to release upgraded hardware with a reasonable generational boost almost yearly. Now the gap has widened, and they’re iterating on old hardware, by giving it more juice and a larger cooler. Not to mention the astronomical prices that have outclassed previous top-end cards at the current mid-range
Not really. It’s not the right way to state it. They aren’t concerned with making money from the consumer market right now. Killing it implies it’s never coming back.
