The Qualcomm Snapdragon X2 Elite Extreme trounces Nvidia's chip in single core CPU performance. It beats Intel and AMD's best, too. It has unified memory. It's the only CPU in the same league as Apple's M-series in both CPU performance and power efficiency. And it's available in laptops today, not later this year. People are sleeping on Qualcomm.
Is it well supported under Linux?
Nvidia is proposing a beast of a CPU system for Windows PCs
151–160 of 581 posts
Re: Nvidia is proposing a beast of a CPU system for Windows PCs
#152Earlier quoted context omitted.
> This is the 2026 edition of Ken Olsen: "There is no reason anyone would want a computer in their home" Digging into this: > In conclusion, there is evidence that Ken Olsen did doubt the need for computers in the home, but the evidence is based primarily on the testimony of David Ahl who was perturbed when the personal computer project he championed at DEC was not supported by Olsen in 1974. > Olsen’s resistance may…
It doesn't really need this much explanation. People take these quotes out of context all the time. Said in a business context, there was no need, at that time, for someone to have a personal computer. There's no business justification in 1977 for a personal computer department at a business. It's similar to the gates quote about RAM (I think it was 64KB?). These statements aren't meant to be forever quotes. Their bu…
640, and Bill Gates said he either never said that, or at least never remembered having said it. I think there is no evidence anywhere that he did.
https://www.computerworld.com/article/1563853/the-640k-quote...
Re: Nvidia is proposing a beast of a CPU system for Windows PCs
#153The Qualcomm Snapdragon X2 Elite Extreme trounces Nvidia's chip in single core CPU performance. It beats Intel and AMD's best, too. It has unified memory. It's the only CPU in the same league as Apple's M-series in both CPU performance and power efficiency. And it's available in laptops today, not later this year. People are sleeping on Qualcomm.
Qualcomm is a “fool me once, shame on you, fool me twice, you don’t fool me twice” kind of situation. So many horrible experiences in the past that people are going to be hesitant. Qualcomm are trying harder now it seems. But it will take time to repair their reputation in the PC market.
Re: Nvidia is proposing a beast of a CPU system for Windows PCs
#154The Qualcomm Snapdragon X2 Elite Extreme trounces Nvidia's chip in single core CPU performance. It beats Intel and AMD's best, too. It has unified memory. It's the only CPU in the same league as Apple's M-series in both CPU performance and power efficiency. And it's available in laptops today, not later this year. People are sleeping on Qualcomm.
Qualcomm is a “fool me once, shame on you, fool me twice, you don’t fool me twice” kind of situation. So many horrible experiences in the past that people are going to be hesitant. Qualcomm are trying harder now it seems. But it will take time to repair their reputation in the PC market.
Tuxedo computers tried and didn't succeed either.
I will never buy Qualcomm again. I avoid them on phones as well by just buying Apple. They do not support their hardware beyond the release.
Re: Nvidia is proposing a beast of a CPU system for Windows PCs
#155"I am not sure how many people will run AI models locally. It still seems like a niche application to me. However, it will make decent machines to play video games." I don't know who will be the winner but with some of the recent releases from gemma it seems more probable that you may run some models locally if only from a cost perspective, not even considering business security. Not sure how this type of architectur…
Re: Nvidia is proposing a beast of a CPU system for Windows PCs
#156Earlier quoted context omitted.
"I am not sure how many people will run AI models locally. It still seems like a niche application to me. However, it will make decent machines to play video games..." This is the 2026 edition of Ken Olsen: "There is no reason anyone would want a computer in their home"
> This is the 2026 edition of Ken Olsen: "There is no reason anyone would want a computer in their home" Digging into this: > In conclusion, there is evidence that Ken Olsen did doubt the need for computers in the home, but the evidence is based primarily on the testimony of David Ahl who was perturbed when the personal computer project he championed at DEC was not supported by Olsen in 1974. > Olsen’s resistance may…
Re: Nvidia is proposing a beast of a CPU system for Windows PCs
#157Earlier quoted context omitted.
Most people are ok with slower. An AI that lets you edit a family picture, in say 30 seconds, locally is preferable to one that is instantaneous but requires you to submit that picture to examination/storage/training/sale in someone else's AI ecosystem. If i want to crop my ex out of family photos, i should not have to first give that photo to Microsoft. If want an LLM to write a book report for me, i dont want it al…
I'd like to think so but the existence of Google and Apple and Microsoft's cloud based photo tools with phone integration suggests that's false. You could run a pretty good home server on $50 of gear and yet we never saw any real adoption of OwnCloud/NextCloud style products as an alternative to Google Drive/Photos or Apple Cloud. Why should LLM/Transformers be any different? Especially when you need a proper expensi…
On-device AI is going to be important, I think. It doesn't have to take the form of a chatbot UI to be useful.
Re: Nvidia is proposing a beast of a CPU system for Windows PCs
#158Earlier quoted context omitted.
Qwen 3.6 is far ahead of Gemma for most (but not all) things. I've deployed it out across a number of M5 MacBooks and it's genuinely useful for many tasks. It won't replace an Opus or current gen Sonnet sized model but it's still amazingly good for its size and probably as good as or just a bit before Sonnet 4 era. Far more reliable for tool calling, coding, agentic tasks and faster than the Gemma models especially w…
I've got a Qwen 3.5 running on a 12GB 3060 and it's dumb as a stump but still smart enough to get some useful work done. Since it's my daily driver desktop I havent jumped to 3.6 since last time I did I quickly ran out of vram and locked the desktop environment. But yeah, the Qwen line is pretty impressive on commodity hardware.
To me, LLMs are for asking research questions + exploring design spaces + pointing at codebases to investigate bugs. And those all benefit from the model being as "smart" (in terms of both fluid intelligence and burned-in knowledge) as possible.
I'm guessing there exist problems where "intelligence past a certain point" doesn't matter, so these medium-sized models can match the performance of the bigger models. But what problems might those be?
Re: Nvidia is proposing a beast of a CPU system for Windows PCs
#159Earlier quoted context omitted.
Most people are ok with slower. An AI that lets you edit a family picture, in say 30 seconds, locally is preferable to one that is instantaneous but requires you to submit that picture to examination/storage/training/sale in someone else's AI ecosystem. If i want to crop my ex out of family photos, i should not have to first give that photo to Microsoft. If want an LLM to write a book report for me, i dont want it al…
> Most people are ok with slower. An AI that lets you edit a family picture, in say 30 seconds, locally is preferable to one that is instantaneous but requires you to submit that picture to examination/storage/training/sale in someone else's AI ecosystem. Maybe if you ask them that question, but if you show them two products, they'll definitely prefer the faster one. 30 seconds is a long time to watch a progress bar.
People definitely aren't going to accept more expensive + slower ...
Re: Nvidia is proposing a beast of a CPU system for Windows PCs
#160> up to 6,144 state-of-the-art CUDA cores A RTX Pro 6000 has ~24K 5th generation tensor cores, I'm guessing this would then be 1/4 of the count but 6th generation? Wasn't clear from the images.
What is more important than core count is how the caching architecture is laid out. They could lay out those 6k cuda cores in a layout which provides much larger blocks of cache to smaller number of cores. That would increase the memory bandwidth which would be better for inference.
> The memory is not as fast as dedicated GPU memory, but it is cheap enough while delivering enough bandwidth to run AI models locally.
Also "cheap while delivering enough" certainly sounds like someone is trying to temper expectations. It sounds like something sitting in-between GPU+VRAM inference and CPU+RAM one, not as a step above/besides GPU+VRAM.