141
350,000 servers? Jesus, what a waste of resources.
just capitalist markets allocating resources efficiently where they're need
load more comments
(5 replies)
Sounds like we're going to get some killer deals on used hardware in a year or so
Totally not a bubble though.
Yeah. It's a legitimate business, where the funders at the top of the pyramid are paid by those that join at the bottom!
Now's the time to start saving for a discount GPU in approximately 12 months.
They don't use GPUs, they use more specialized devices like the H100.
Everyone that doesn’t have access to those is using gpus though.
We are talking specifically about OpenAI, though.
People who previously were at the high end of GPU can now afford used H100s -> they sell their GPUs -> we can maybe afford them
load more comments
(1 replies)
load more comments
(2 replies)
Can I use a H100 to run hell divers 2?
I do expect them to receive more funding, but I also expect that to be tied to pricing increases. And I feel like that could break their neck.
In my team, we're doing lots of GenAI use-cases and far too often, it's a matter of slapping a chatbot interface onto a normal SQL database query, just so we can tell our customers and their bosses that we did something with GenAI, because that's what they're receiving funding for. Apart from these user interfaces, we're hardly solving problems with GenAI.
If the operation costs go up and management starts asking what the pricing for a non-GenAI solution would be like, I expect the answer to be rather devastating for most use-cases.
Like, there's maybe still a decent niche in that developing a chatbot interface is likely cheaper than a traditional interface, so maybe new projects might start out with a chatbot interface and later get a regular GUI to reduce operation costs. And of course, there is the niche of actual language processing, for which LLMs are genuinely a good tool. But yeah, going to be interesting how many real-world use-cases remain once the hype dies down.
It's also worth noting that smaller model work fine for these types of use cases, so it might just make sense to run a local model at that point.
PLEASE!!!!
Good. It's fake crap tech that no one needs.
The start(-up?)[sic] generates up to $2 billion annually from ChatGPT and an additional $ 1 billion from LLM access fees, translating to an approximate total revenue of between $3.5 billion and $4.5 billion annually.
I hope their reporting is better then their math...
Probably used ChatGPT….
Maybe they also added 500M for stuff like Dall-E?
Good point - it guess it could have easily fallen out while being edited, too
load more comments
(1 replies)
I hope so! I am so sick and tired of AI this and AI that at work.
I will be in a perfect position to snatch a discount H100 in 12 months
Bubble. Meet pop.
lol, lmao
Oh no!
Anyway...
Ai stands for artificial income.
womp womp
Last time a batch of these popped up it was saying they'd be bankrupt in 2024 so I guess they've made it to 2025 now. I wonder if we'll see similar articles again next year.
For anyone doing a serious project, it's much more cost effective to rent a node and run your own models on it. You can spin them up and down as needed, cache often-used queries, etc.
For sure, and in a lot of use cases you don't even need a really big model. There are a few niche scenarios where you require a large context that's not practical to run on your own infrastructure, but in most cases I agree.
This sounds like FUD to me. If it were it would be acquired pretty quickly.
They're wholly owned by Microsoft so it'd probably be mothballed at worst.
For another conversation I need some evidence of that, where did you find it?
load more comments
(2 replies)
view more: next ›
this post was submitted on 28 Jul 2024
141 points (97.3% liked)
Technology
34836 readers
18 users here now
This is the official technology community of Lemmy.ml for all news related to creation and use of technology, and to facilitate civil, meaningful discussion around it.
Ask in DM before posting product reviews or ads. All such posts otherwise are subject to removal.
Rules:
1: All Lemmy rules apply
2: Do not post low effort posts
3: NEVER post naziped*gore stuff
4: Always post article URLs or their archived version URLs as sources, NOT screenshots. Help the blind users.
5: personal rants of Big Tech CEOs like Elon Musk are unwelcome (does not include posts about their companies affecting wide range of people)
6: no advertisement posts unless verified as legitimate and non-exploitative/non-consumerist
7: crypto related posts, unless essential, are disallowed
founded 5 years ago
MODERATORS