143 points novaRom 3 hours ago 72 comments
rich_sasha 2 hours ago | parent
Or maybe just not at all - shell out for OAI tokens and send us all your data - your privacy is very valuable to us and we will make sure to be the only ones to monetize it.
You could say, Nvidia is selling pickaxes and has no business gatekeeping what rocks you hit with it, but I guess it depends on their relationships with major mining companies, and ultimately what pays more.
hypfer 2 hours ago | parent
Those are very different things as far as I understand, and the whole "doesn't work well with linux" really only makes sense on the RTX Spark laptop I think? Isn't the DGX spark linux by default?
novaRom 1 hour ago | parent
fxwin 2 hours ago | parent
Man it really is exhausting to read a title that sparks my interest, just to be greeted with the most basic Claude-isms in the subheading.
aa-jv 2 hours ago | parent
I see what you did there. ;)
teiferer 59 minutes ago | parent
I just heard a quick J. Talarico speech at some country concert. In the 10 or so sentences he spoke, he had 3 or 4 instances of doing this "Claudism" enumeration. Are you saying Texas just elected Claude for Senate?
Maybe we should stop with such superficial judgements. It's the modern equivalent of not liking the speaker's tie. (Doesn't mean the speaker's speech is good, but it doesn't mean it's bad either.)
lemagedurage 38 minutes ago | parent
fxwin 30 minutes ago | parent
aa-jv 2 hours ago | parent
But, on the other hand, having my DGX Spark stack at hand, I know the solution:
/btw reverse engineer the Nvidia Platform Controllers and Framework component and build a Linux version
"AI views proprietary components as damage and routes around them."u1hcw9nx 2 hours ago | parent
aa-jv 1 hour ago | parent
EDIT: I don't know why you changed your comment, but yes, it was obvious from reading the article that it was not actually about the DGX Spark.
K0balt 1 hour ago | parent
Sovereign AI has never been more important.
aa-jv 21 minutes ago | parent
But yeah, we do need to make sure the REA cat stays out of the bag.
I, for one, welcome our reverse-engineer-anything overlords.
barrkel 2 hours ago | parent
If you really want to do DIY inference, plug it in at home and set up tailscale so you can access it on the go.
No huge battery drain or toasty hot laptop required. Lower cost laptop. Lighter laptop. Longer battery life laptop. Win win win win.
solyin 1 hour ago | parent
Gigachad 1 hour ago | parent
pixelpoet 1 hour ago | parent
monegator 1 hour ago | parent
dumberquestions 46 minutes ago | parent
dlahoda 1 hour ago | parent
unique local data and know how not shared with cloud.
close04 1 hour ago | parent
Because reviewers tell them this is is a good use case, and people want to take advantage of the HW they buy [0]. Unfortunately those reviewers didn't take any extra step to validate anything beyond the default config, out of the box.
[0] https://arstechnica.com/reviews/2026/10/the-surface-laptop-u...
KeplerBoy 1 hour ago | parent
alerighi 24 minutes ago | parent
K0balt 2 hours ago | parent
Sovereign AI has never been more important.
Controlling AI is so much more powerful and impactful than controlling search or social algorithms.
Centralized AI a 10x on social control over everything we have seen before, and there is no way that a free and open society survives contact with centralised, high capability AI if the system is manipulated towards guiding outcomes. It’s essentially mind control, as people will offload an even greater share of their cognition to AI than they do with search and social.
Build and maintain sovereign AI while you still can.
InsidiousWombat 1 hour ago | parent
Pay up for license to unlock full capacity, pay up for license to use encrypted models from AI moguls, paid per billion tokens processed or just operations in GPU
hhh 1 hour ago | parent
novaRom 1 hour ago | parent
skew-aberration 48 minutes ago | parent
sva_ 1 hour ago | parent
AlAjem 1 hour ago | parent
The consumer has access to free and open models for local use.
The supplier has better control and wider market to serve running the models in data centers.
Only way I can see encrypted models being widespread is if they are bundled as part of a software package (OS/Browser/etc) and not sold as the product.
petu 1 hour ago | parent
ReptileMan 4 minutes ago | parent
motbus3 1 hour ago | parent
somat 43 minutes ago | parent
So it is something that has been done for a long time now. Still feels like unethical rent-seeking that should not be tolerated by the customer.
See Also: car companies that charge additional fees for hardware already on the car. Additional services, I sort of understand(remote start via cell network), but stuff like heated seats, that is just wrong.
duskdozer 52 minutes ago | parent
boltzmann64 49 minutes ago | parent
AI is a software just like operating systems and executables where open source absolutely dominates the industry. Remember when the compiler engineers optimized the shit out of llama.cpp.
Right now the bottleneck for AI software is compute and data. Moore's law is give us compute, StackOverflow, arXiv (and it's children like bioRxiv), gutenberg and others (3lib, anna, internet.org) will give us data.
It's a waiting game. Open source always wins.
torben-friis 35 minutes ago | parent
Tons of stuff happenning behind closed doors today though. No more stackoverflow for the next decade, that could create a problem if all new context only exists in chatgpt conversations only openAI has access to (or whoever).
Helmut10001 8 minutes ago | parent
GuB-42 47 minutes ago | parent
Nothing stops you from giving Nvidia half a million for their latest and greatest AI GPUs, unless you are in China I guess, but China does very well despite the export control.
It is just classic market segmentation, the thing Nvidia and just about every company that can benefit from it has done for decades. Cloud providers are ready to pay a lot of money, consumers wanting local AI have a lower budget, and gamers even lower. But a low budget is greater than zero, and there is still money to be made on these markets. But they also don't want to compete against themselves, so they are going to find ways of crippling enterprise-class workloads on consumer hardware.
It used to be that they crippled high precision arithmetic on consumer hardware, because it was a differentiating factor, but AI doesn't care about high precision, so now, it is something else.
sidewndr46 20 minutes ago | parent
hsuduebc2 15 minutes ago | parent
I do not understand this play. This means that only hyperscalers or someone who purchased a licence can use Spark?
sva_ 1 hour ago | parent
> The laptops also support unified memory configurations up to 128GB, shared between CPU and GPU, which is unusual for a laptop and central to why they’re being marketed at AI developers in the first place.
This isn't rare on laptops, pretty default on AMD with iGPU
jcarrano 1 hour ago | parent
jleask 1 hour ago | parent
NoidFonsense 36 minutes ago | parent
jleask 17 minutes ago | parent
jack_pp 4 minutes ago | parent
dist-epoch 17 minutes ago | parent
afarah1 9 minutes ago | parent
https://developer.nvidia.com/blog/nvidia-transitions-fully-t...
TobiasJacob 1 hour ago | parent
meta-level 1 hour ago | parent
totetsu 50 minutes ago | parent
DannyBee 32 minutes ago | parent
They really got it right on multiple levels - for those who don't know, roller coaster tycoon was infamously written in 99% assembly and meticulously optimized by the developer to run effectively in 16 megabytes of ram.
dzonga 23 minutes ago | parent
impossiblefork 1 hour ago | parent
A laptop can't run the latest big models, because memory is too expensive. This thing probably can't run models larger than Mistral Small 4. But it'd be a completely different thing to have a hardcoded Mistral Large 4, than a choice of tiny models.
RealityVoid 1 hour ago | parent
impossiblefork 1 hour ago | parent
I think I misunderstood what the technology could do a little bit, because I imagined these fixed matrix multiplies encoded into hardware as small-ish, as using routing space etc., not just fast.
I think what I really imagined was useful would be more easily achieved by having a big ROM with model weights connected to an ordinary GPU.
ChiliPie 1 hour ago | parent
viraptor 1 hour ago | parent
OsrsNeedsf2P 57 minutes ago | parent
yieldcrv 1 hour ago | parent
wewewedxfgdf 1 hour ago | parent
But with Nvidia people just expect they nerf all the features.
villgax 53 minutes ago | parent
laughing_man 47 minutes ago | parent
alerighi 26 minutes ago | parent
petercooper 25 minutes ago | parent