- Joined
- Oct 7, 2020
OpenAI would not be dumping their cards on EBay.View attachment 8454278
Can anyone confirm? It would be nice if the crash was starting.
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OpenAI would not be dumping their cards on EBay.View attachment 8454278
Can anyone confirm? It would be nice if the crash was starting.
Well somebody is, and OpenAI is unlikely to snap up everyone's used GPUs.OpenAI would not be dumping their cards on EBay.
The A100 was released in 2020, it uses the same microarchitecture as the 30 series GPUs, and the Nintendo Switch 2. Companies offloading 6 year old cards as they get newer ones is entirely reasonable and not indicative of anything.View attachment 8454278
Can anyone confirm? It would be nice if the crash was starting.
Running a model is a lot easier than training a model, so you're not wrong about being able to run many of them locally. Though it does depend how specialised the model is. If you want some utterly general "AI" that you can ask anything - which is what most people want - then you want something in a data centre. Loading and unloading models locally for different purposes is slow. Of course with AIs now being more and more able to go out and search for the information they need online that adds flexibility to the local models as well.The more I’ve looked into seriously running AIs at home, the less I’m convinced that any of these AI datacenter companies are going to come out on top. Smaller models are able to be much more power efficient without sacrificing much in terms of quality of the results. You could imagine a company running a bunch of them locally on their employee’s workstations, or even spending $5-10k on a really high end AI server in their building, plus however much on a support contract, instead of $100/month forever for all of their engineers. At some point, local just makes way more sense than remote. Especially with how hungry these companies are for user data, I wouldn’t expect any of them to respect their enterprise customers’ privacy expectations. Facebook broke the law downloading LibGen to train its servers, who’s to say they won’t break their contracts to absorb client data into their servers?
"Nice".Can anyone confirm? It would be nice if the crash was starting.
Would the people snapping up these used cards at a good price sell their previous less powerful cards for cheap, leading to a drop in price for the 3060?The A100 was released in 2020, it uses the same microarchitecture as the 30 series GPUs, and the Nintendo Switch 2. Companies offloading 6 year old cards as they get newer ones is entirely reasonable and not indicative of anything.
no but ai bros might if they wanna get second hand gpus on the cheapWell somebody is, and OpenAI is unlikely to snap up everyone's used GPUs.
No.Would the people snapping up these used cards at a good price sell their previous less powerful cards for cheap, leading to a drop in price for the 3060?
No.
The market for a used A100 or other datacenter card does not overlap with the market for a 3060.
OpenAI is hoping to make computer god and to use its infinite processing power to make perfect decisions that let them rule everything forever. That is tbh how they are raising funds, and also they wont ever profit if they fail to achieve that
USA only had to import 2 things in the history, cocaine and smart man, due to enshitification jeets and somalians started to creep in, so usa rushing AI to replace their "thinking man" needs.
At this point, the only real consideration for an SSD is size. 256 GB is probably fine unless you were planning on playing the newest Call of Duty. 1TB would work better if you're planning on replacing your main drive and running several games off of it.Is this the correct thread to get SSD recommendations? If not, feel free to yell at me.
I had a family friend build my current PC back in 2017. The old girl is starting to show her age when it comes to games and a former friend recommended I get an SSD to deal with game loading times etc. but I am genuinely retarded when it comes to hardware, so if anyone can give me some pointers or recommendations I'd be much obliged.
I've already been suggested a Kingston KC3000 SSD which would come out at around 400 american dollars, alternatively I've also been suggested a Samsung 970 EVO Plus to a much more affordable 78 dollars converted from my local prices.
I'm willing to set my budget at 400 dollars if it means a better investment in the long term, but a cheaper one will do just fine if it fits my machine better.
Thanks in advance.
fucking bruh, i paid 130$ for my KC3000, also 970 EVO Plus is probably counterfeit because CHINKS and low price on the current "crisis".I've already been suggested a Kingston KC3000 SSD which would come out at around 400 american dollars, alternatively I've also been suggested a Samsung 970 EVO Plus to a much more affordable 78 dollars converted from my local prices.
It should be noted that, for longevity reasons, an SSD should not be filled above 70% of its total NAND capacity. For a "1 TB" SSD that would be 700 GiB. SSD controllers need their space for wear-levelling, and some SSDs use an SLC write cache that can be sized at even 300 GiB.At this point, the only real consideration for an SSD is size. 256 GB is probably fine unless you were planning on playing the newest Call of Duty. 1TB would work better if you're planning on replacing your main drive and running several games off of it.
That would be a good choice, unless it's counterfeit.alternatively I've also been suggested a Samsung 970 EVO Plus to a much more affordable 78 dollars converted from my local prices.
I just realised why it was so low in price. It's not in stock, of course. Silly me.That would be a good choice, unless it's counterfeit.
Judging from the story of your life you posted, your hard drive is already above 700 GiB of used space, so I would advise you to look for a 2 TB SSD instead.I just realised why it was so low in price. It's not in stock, of course. Silly me.
Thank you, chaps. I'll do some more searching/researching. I really appreciate it.
It should be noted that, for longevity reasons, an SSD should not be filled above 70% of its total NAND capacity. For a "1 TB" SSD that would be 700 GiB.