by eigenspace
1 subcomments
- I'm surprised they released this thing. Brand perception is probably a lot more important to Nvidia than whatever sales they could get from this thing, and if it's basically just DGX Spark, it's likely to underwhelm.
I've heard there's still a large backlog of both software problems, and hardware problems with the platform. The software problems could be fixed with time, but they'll still give a shitty first impression. I'd have thought Nvidia would just bury this and try again with a successor run of silicon with a new design.
This thing seems practically destined to just be a repeat of the Snapdragon laptop debacle.
- The GB10 itself is pretty good and I love using mine for broad Linux development. But it's too expensive for consumer level pricing, and even for the "prosumer" the price is pretty stiff. Even if they dropped the CX-7 and halfed the RAM and shipped a smaller hard drive, would it be below, say, $2500 USD? I guess we'll see, but this variant is coming out pretty late so maybe it's just best to wait for the 2nd generation.
by comandillos
3 subcomments
- So they have basically reused the same hardware as in the DGX Spark (GB10)...
That chip isn't great for LLM inference actually.
https://www.techpowerup.com/gpu-specs/gb10.c4342
https://www.nvidia.com/en-us/products/rtx-spark/
- Also see https://news.ycombinator.com/item?id=48352939
- I’m getting more and more convinced that we will end up running LLMs in our personal computers. Which makes me wonder where Anthropic/OpenAIs moats will come from.
by orthoxerox
0 subcomment
- Well, it was only a matter of time, since both AMD and now Intel are now switching to APUs. Nvidia could either cede the desktop GPU market to them, going all-in into AI datacenter chips, or it could challenge them.
Maybe the Nth time's the charm and Microsoft+Nvidia will manage to make Windows on ARM a viable platform.
by chris_money202
0 subcomment
- It’s a step in the right direction, but there’s still a long ways to go in terms of smaller LLMs ability and hardware costs
- Great! More pressure on fabs, price of standard GPU will again rise.
Guess I need to postpone my gamer PC renewal to end 2030.
by lanycrost
1 subcomments
- I'm waiting for powerful on device LLM models, since that not worth it
by agnosticmantis
0 subcomment
- How would these compare to a MacBook Pro M5 in terms of performance and price?
- Very exciting! sounds like we're finally leaving x86 behind
by PunchyHamster
1 subcomments
- The fact they advertise it as some step forward in PCs is outright bizzare.
It's just worse Strix Halo, as you are landing square in middle of Windows ARM problems
by ocdtrekkie
0 subcomment
- The thing I think is really funny is that if this takes off, frontier model companies and datacenters will end up holding the bag, and as per usual after the last few tech hype cycles, NVIDIA will still be selling.
Eventually a lot of inference will get right-sized into something you affordably run yourself.
by LatencyKills
3 subcomments
- First:
> "Our goal is to deliver unmetered intelligence to every home and every desk with Windows," said Satya Nadella, chairman and head of Microsoft.
Then:
> However, Ian Fogg, Research Director at industry analyst firm FDM CCS Insight said the change was "likely to come with a significant price tag" and Nvidia would be targeting "those looking for workstation-class performance".
So... not every desk with Windows.
- [flagged]
- [flagged]
- Did they tell Trump that if you don't use chips with the latest silicon process, machine learning will just take a bit more time and more energy, but it will happen anyway and at the same level of quality if the machine learning "recipes" and training data are close enough?
- >Lenovo, HP, Dell and Apple accounted for almost 75% of the world's PC market in the first three months of this year, according to research firm Gartner.
https://www.gartner.com/en/newsroom/press-releases/2026-4-10...
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