Nvidia is proposing a beast of a CPU system for Windows PCs

Post by bigyabai » Sat, Jun 06, 2026, 3:52 PM UTC

GuestFAUniverse wrote: post #88

And who in 2026 is still anal-fixated on a "Windows" PC? It's just a personal computer. It normally runs multiple operating systems just fine. Windows PC sounds like people talking about tech who are either payed by M$, or embed pictures into Word documents to send them. Nobody has to kill the fun those OS agnostic machine allow, by artificially bind them to a shitty OS.

Post by eszed » Sat, Jun 06, 2026, 3:55 PM UTC

sandworm101 wrote: post #85

Zetaphor wrote: post #73

Earlier quoted context omitted.

I want to reduce my dependency on companies like Google, OpenAI, and Anthropic. Aside from the concerns of data sharing I'm also not a fan of how they run their operations, for example Anthropic now using xAI's Colossus data center which is poisoning a marginalized community, or OpenAI getting in bed with the military. Not everything I want to use an LLM for requires "PhD level intelligence", and increasingly I'm fin…

My local AI is currently upscaling an old british comedy from sub-dvd quality to 1k. (It is not availible other than on DVD.) It looks like it will take about a week for my pair of 5060s to chew through the task.

Post by hungryhobbit » Sat, Jun 06, 2026, 3:58 PM UTC

wazdra wrote: post #74

unmole wrote: post #51

Earlier quoted context omitted.

> you may run some models locally if only from a cost perspective I have a hard time believing running a model on a laptop will be cheaper than running it in a datacenter. Why wouldn't economies of scale apply here as with every other computation?

This is assuming that you'll be priced the fraction of computing that you consumed. But you are actually paying for their infrastructure, for the R&D (and also the computation that went into training the model) etc. It is not clear that, for your own small computations, this kind of costs are needed, but you will still pay your share in the investment the provider made so that they could serve everyone's computation…

Post by glimshe » Sat, Jun 06, 2026, 4:00 PM UTC

parineum wrote: post #93

throw0101a wrote: post #83

Earlier 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…

Post by bigyabai » Sat, Jun 06, 2026, 4:00 PM UTC

jmyeet wrote: post #100

This is the RTX Spark [1]. The obvious comparison here is the M5 Max where you can buy a Macbook Pro with 128GB of also unified memory. Obviously CUDA cores are specific to NVidia so it's hard to directly compare but I've seen claims that the M5 Max is roughly equivalent to ~4000 CUDA cores. This obviously depends on workload and whether the CPU supports the precision you want to use (eg FP4). The M5 Max has memory b…