Wtf. Are we actually seeing a push towards being 100percent dependent on the cloud?
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.
No, we are just seeing a push towards Nvidia wanting to make money.
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.
Given the history of prohibition in the past few centuries, it wouldn't surprise me if it is much easier to buy Nvidia products in China than in the US. The price is much higher most likely, but the actual transaction is likely easier.
Unless the US somehow differs from the EU in some major ways, can't you just walk into a store and buy a NVIDIA GPU? Not sure how much easier it can get. And yes, it's as easy in China to, walk into store, point at GPU, fork over the money, you get your GPU. Like everywhere else, except the US I suppose?
NVIDIA probably already figured out that local will be massive part and are preparing to do DRM for AI.
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
I don't see the case for DRM protected local models on either side.
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.
The reason why open source couldn't win search and social was because they need network effects which is not possible for open source maintainers.
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.
>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.
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).
Wait until the archives are compromised and millions of people's conversation and uploaded data are published. Such context was never before accessible in that scale, but it will become accessible soon, I am pretty sure.
Years ago I would think I was being paranoid to think they would patch hardware retroactively to make it slower so you need to pay more to use your own hardware.
In 2026, I think this is what all car companies are doing after you pay the full car price.
I don't see a reason why they wouldn't do it with so little competition
It smells like something IBM would do. Coming from small computers where you own it, I was flabbergasted to learn that IBM would ship additional processors and ram with their mainframes but you were not allowed to use them until you paid the additional license fee.
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.
> 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.
It saves the car manufacturer on logistics cost. The per-unit cost of a seat heater is (much) smaller than the cost related to keeping two variants of seat in stock and to provide spare parts. Say the heating mat costs 100€ per seat including materials and installation, and can be sold to the customer for 400€ permanent, that means as long as 1 in 4 customers buys the seat heating option, the books are balanced, and all money you save on logistics is pure profit.
Adding subscription on top of that is financially even better, if there is one thing companies LOVE thanks to stonk market incentives it is monthly recurring revenue.
> Are we actually seeing a push towards being 100percent dependent on the cloud?
[Hanlon's Razor] This is such a contrived performance drop scenario that I find it hard to believe it was done with the purpose you're inferring.
I'd interpret this as Nvidia not caring that much about Linux desktops/laptops once again (as opposed to Windows desktops/laptops), rather than anything to do with local vs cloud.
Yes? How is this at all surprising given....everything we've seen tech companies push for for years and years? People are fully embedding themselves and their workflows in the services of big, closed companies, and are going to be surprised when they finally feel able to clamp down? There has been warning sign after warning sign, but people are only increasing their dependence.
No, when people talk about building software they tend to mean building software. Just like "putting together my own training hardware" doesn't imply you're creating your own wafers from sand.
But the original post was about a hardware vendor getting in the way. It's pointless to talk about "sovereign AI" when all you do is run GLM on Nvidia.
This is classical move from Nvidia. They are doing similiar bullshits on their GPUs for decades. I'm very much looking forwars for their competition to rise.
Nvidia doing what Nvidia has always done; proprietary closed drivers. Weird choice to cryptographically protect the power settings. Key problem is that we've allowed a company that's always been this way to form a monopoly. Other brands exist, perhaps it is now worth the effort to migrate and rebuild elsewhere.
New generations such as Blackwell have open source kernel modules, there is not even a proprietary option. I thought there was a move in this direction?
they could make money that way right now but they figured out they can make even more money by doing this. but jokes on them, people will figure it out, unlock / jailbreak and they just lose good will long term
Enumerating 3 things really ..sparks a comment nowadays? Doing that as a rhetorical device has been a thing for generations and of course LLMs mimic it because it is everywhere in their training data.
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.)
There are more Claude-isms in there than just rule of three (Hence -isms and not -ism), and while I'd generally agree that we generally shouldn't be superficial with our judgements, this particular heuristic has served me pretty well so far. I don't know what Talarico speech you are talking about, so i won't comment on that (But I'm not sure if political speeches are the best rebuttal to "I think obviously AI generated text is an indicator of low signal-to-noise ratio").
Edit re "equivalent to not liking the speaker's tie":
This is not equivalent at all, this is a written blog post and I'm put off by the way it is written, not by say the URL or their chosen font. It's more akin to a speaker dropping an inappropriate joke at the start of their talk and leaving because of that
So weird that everyone gives Microsoft a complete pass. They probably paid Nvidia to give them a head start so people would be forced into Windows and WSL for awhile.
Not really, because for more than 2 decades the closed-source NVIDIA Linux drivers were at parity of features and performance with the Windows drivers, unlike the AMD drivers before they were open-sourced, which was much more recently.
This is a new thing with the firmware that can be used only by Windows. If this NVIDIA policy continues, then NVIDIA will indeed become a bad choice for Linux, but until now, for graphics and AI applications NVIDIA has been the best choice for Linux, by providing the best performance and reliability.
For pure computational applications, especially for those requiring good FP64 throughput, there are many years since NVIDIA has become a worse choice than AMD and more recently also than Intel, but that is due to poor hardware support, not to bad software support.
Why does the title say DGX spark when the link is the RTX Spark laptop?
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?
Fortunately that's just a matter of weeks until someone revengs and publishes the fix... even if we need to wait a while for a proper upstreamed solution.
As someone who went down the rabbit hole of local AI, there is so much exhausting debugging already. Even if this is "just" another step you have to find, it's toxic.
It should be possible to reverse engineer this, if it works on windows?
> 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
Not everyone grew up in a situation where home was a stable dependable place. Not everyone has a home to go to. If you have it with you, they can't mess with it or take it away from you when you're not there. If you grew up in a broken home, you would understand.
I have been saying this for years, and the answer hits a nerve that gets you downvoted into oblivion: people prefer the aesthetics of laptops, simple as that. They will absolutely go to the grave arguing that they need the mobility etc, then just leave it plugged in. They simply prefer how laptops look, and they absolutely hate it when someone dares say it.
I have a laptop for work. 95% of the time i'd prefer a tower or at least a mini PC with proper cooling, but that remaining 5% i have to be around with the laptop is enough. I don't like the idea of having to remember to sync the projects every time (especially while i'm in the middle of testing something new so it's not like i can just pull the latest commit or sync the latest good version of something)
I am starting to wonder whether CEOs everywhere ( but especially in US ) are simply unable to read the room. I shrugged off nvidia when they did it to gaming and mining ( it annoyed me, but ultimately there were options to deal with it ), but here it is touching a much wider populace with repercussion well beyond crypto and gaming.
Assume I'm naive on this matter, but why wouldn't Nvidia allow its own DGX OS to be a first party OS on these devices? Some sort of MS subsidy? Ecosystem-wise, wouldn't it make sense for Nvidia to keep pushing its own OS on all the devices containing its hardware?
Unrelated to this slowdown, I could imagine this sort of thing being the right application for things like Taalas, although I'm not quite sure whether it can actually offer what I imagine that it can (i.e. ability to make a cheap, physically small card that can run a large model).
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.
You probably won't be able to run a sota model on a single Talaas card. You probably need a set. It should theoretically be cheaper, faster, more power efficient than Nvidia at running that model. But then you are stuck with a chip that can run only that model. And I understand that context size will also be a problem.
Yeah, that was why I felt that, while Taalas might not be the right thing in general, it could be really appealing in a laptop, that would otherwise not be able to run any big model at all.
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.
This one is allegedly/hopefully a bug but just waiting for it to become a revenue stream / paywall. Uh oh, you want to run locally your dangerous illegal foreign open models, not licensed by Nvidia? Can’t work with you paying for a special security feature unlock on your GPU.
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.
The attack on reverse engineering of games is a precursor to universal computing lockdown. When you need AI to keep up with programming, the entity controlling the AI controls what software is possible to create. It’s a bid for centralised control and thought censorship at a scale and depth much more ambitious than anything we have ever seen before.
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.
I'm starting to feel empathy with those people who think bus lanes are coming form their freedom as part of some conspiracy to take away their cars.. I would like private enjoyment of my own RAM to use as I wish please.
Wtf. Are we actually seeing a push towards being 100percent dependent on the cloud?
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.
No, we are just seeing a push towards Nvidia wanting to make money.
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.
Given the history of prohibition in the past few centuries, it wouldn't surprise me if it is much easier to buy Nvidia products in China than in the US. The price is much higher most likely, but the actual transaction is likely easier.
Unless the US somehow differs from the EU in some major ways, can't you just walk into a store and buy a NVIDIA GPU? Not sure how much easier it can get. And yes, it's as easy in China to, walk into store, point at GPU, fork over the money, you get your GPU. Like everywhere else, except the US I suppose?
NVIDIA probably already figured out that local will be massive part and are preparing to do DRM for AI.
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
There is already DRM for AI. check out nvidia’s docs around hosting proprietary models with encrypted weights
Interestingly it is Microsoft who filed a patent for DRM-style locking of AI models to verified devices (published July 2026): https://patentlyze.com/patent/microsoft-drm-ai-models-explai...
So they can avoid the embarrassment when Copilot migrates to Qwen 4
AI is actually the perfect use case for homomorphic encryption.
I wonder if this space is explored fully enough at the moment.
Aside from some implementation details, it's conceptually much easier than doing it for a SQL database.
I don't see the case for DRM protected local models on either side.
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.
There's good open weight models for now, labs could stop releasing them for whatever reason (assuming "good model" is a moving target).
It wouldn't work on windows either, if that were the case. It sounds more like it hasn't been properly implemented yet
Or buy Huawei ascend...
The reason why open source couldn't win search and social was because they need network effects which is not possible for open source maintainers.
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.
>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.
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).
Wait until the archives are compromised and millions of people's conversation and uploaded data are published. Such context was never before accessible in that scale, but it will become accessible soon, I am pretty sure.
Years ago I would think I was being paranoid to think they would patch hardware retroactively to make it slower so you need to pay more to use your own hardware. In 2026, I think this is what all car companies are doing after you pay the full car price. I don't see a reason why they wouldn't do it with so little competition
It smells like something IBM would do. Coming from small computers where you own it, I was flabbergasted to learn that IBM would ship additional processors and ram with their mainframes but you were not allowed to use them until you paid the additional license fee.
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.
Isn't this something apple has been in legal trouble over?
Yep, "Batterygate"
https://www.npr.org/2020/11/18/936268845/apple-agrees-to-pay...
> 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.
It saves the car manufacturer on logistics cost. The per-unit cost of a seat heater is (much) smaller than the cost related to keeping two variants of seat in stock and to provide spare parts. Say the heating mat costs 100€ per seat including materials and installation, and can be sold to the customer for 400€ permanent, that means as long as 1 in 4 customers buys the seat heating option, the books are balanced, and all money you save on logistics is pure profit.
Adding subscription on top of that is financially even better, if there is one thing companies LOVE thanks to stonk market incentives it is monthly recurring revenue.
> Are we actually seeing a push towards being 100percent dependent on the cloud?
[Hanlon's Razor] This is such a contrived performance drop scenario that I find it hard to believe it was done with the purpose you're inferring.
I'd interpret this as Nvidia not caring that much about Linux desktops/laptops once again (as opposed to Windows desktops/laptops), rather than anything to do with local vs cloud.
Yes? How is this at all surprising given....everything we've seen tech companies push for for years and years? People are fully embedding themselves and their workflows in the services of big, closed companies, and are going to be surprised when they finally feel able to clamp down? There has been warning sign after warning sign, but people are only increasing their dependence.
> Build and maintain sovereign AI while you still can.
As in, make your own inference and training hardware?
No, when people talk about building software they tend to mean building software. Just like "putting together my own training hardware" doesn't imply you're creating your own wafers from sand.
But the original post was about a hardware vendor getting in the way. It's pointless to talk about "sovereign AI" when all you do is run GLM on Nvidia.
Yes, in everything.
I stopped using my laptop for dev and switched to talking to claude code on my phone and as you can imagine I am faster at producing code.
100% cloud with a single entry point device to manage dedicated servers + agents
Remember this is the same company that stopped GTX/RTX users from hardware encoding more than 2 video streams at the same time
This is classical move from Nvidia. They are doing similiar bullshits on their GPUs for decades. I'm very much looking forwars for their competition to rise.
Nvidia doing what Nvidia has always done; proprietary closed drivers. Weird choice to cryptographically protect the power settings. Key problem is that we've allowed a company that's always been this way to form a monopoly. Other brands exist, perhaps it is now worth the effort to migrate and rebuild elsewhere.
New generations such as Blackwell have open source kernel modules, there is not even a proprietary option. I thought there was a move in this direction?
https://developer.nvidia.com/blog/nvidia-transitions-fully-t...
AFAIK the open source kernel driver pushes a signed proprietary 500Mb firmware blob into the GPU.
It's not weird at all, they know people will buy these laptops, put linux on them and stash them in data-centers, so they are trying to prevent this.
how are they going to sell you a subscripton to overclock your GPU otherwise?
Sad but probably close to the truth. I'm old enough to remember when companies were able to make money without actively robbing their customers
they could make money that way right now but they figured out they can make even more money by doing this. but jokes on them, people will figure it out, unlock / jailbreak and they just lose good will long term
> we've allowed a company
When did "we" have a say in this? I don't get these types of comments from the "open-source as a community."
Nvidia has been doing this for decades, and there are two possible arguments:
1. They are successful despite it.
2. They are successful because of it.
There is no mythical collective "we" representing the open-source community in Nvidia's supply chain of success. It's Nvidia and its consumers.
> A hands-on look at dual-booting Linux on the Nvidia RTX Spark laptop, the GPU clock throttling bug found, and why WSL still wins.
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.
> sparks my interest
I see what you did there. ;)
Enumerating 3 things really ..sparks a comment nowadays? Doing that as a rhetorical device has been a thing for generations and of course LLMs mimic it because it is everywhere in their training data.
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.)
There are more Claude-isms in there than just rule of three (Hence -isms and not -ism), and while I'd generally agree that we generally shouldn't be superficial with our judgements, this particular heuristic has served me pretty well so far. I don't know what Talarico speech you are talking about, so i won't comment on that (But I'm not sure if political speeches are the best rebuttal to "I think obviously AI generated text is an indicator of low signal-to-noise ratio").
Edit re "equivalent to not liking the speaker's tie": This is not equivalent at all, this is a written blog post and I'm put off by the way it is written, not by say the URL or their chosen font. It's more akin to a speaker dropping an inappropriate joke at the start of their talk and leaving because of that
"Why XYZ still wins" is also a very common pattern for Claude. Granted it's also found in pre-Claude clickbait titles.
I think it's the combination of the profound writing style with the underwhelming substance that bothers people.
Speeches have always over-used these writing techniques. The problem is Claude uses them all the time, even when not writing speeches.
So weird that everyone gives Microsoft a complete pass. They probably paid Nvidia to give them a head start so people would be forced into Windows and WSL for awhile.
Nvidia was already a bad choice for Linux because of closed drivers.
Not really, because for more than 2 decades the closed-source NVIDIA Linux drivers were at parity of features and performance with the Windows drivers, unlike the AMD drivers before they were open-sourced, which was much more recently.
This is a new thing with the firmware that can be used only by Windows. If this NVIDIA policy continues, then NVIDIA will indeed become a bad choice for Linux, but until now, for graphics and AI applications NVIDIA has been the best choice for Linux, by providing the best performance and reliability.
For pure computational applications, especially for those requiring good FP64 throughput, there are many years since NVIDIA has become a worse choice than AMD and more recently also than Intel, but that is due to poor hardware support, not to bad software support.
The article is about the RTX Spark, not the DGX Spark. The title should be changed.
Looks like the site has fixed the title.
Nvidia being the shittiest hardware vendor for GNU/Linux, as always.
Why does the title say DGX spark when the link is the RTX Spark laptop?
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?
Good point, fixed, thanks.
Fortunately that's just a matter of weeks until someone revengs and publishes the fix... even if we need to wait a while for a proper upstreamed solution.
As someone who went down the rabbit hole of local AI, there is so much exhausting debugging already. Even if this is "just" another step you have to find, it's toxic.
Yeah I'm giving all my RAM to Sam Altman tomorrow because of that
It should be possible to reverse engineer this, if it works on windows?
> 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
I though the same, reverse engineer with AI. Even run the AI on the laptop and have it reverse-engineer itself.
I remain puzzled why anyone would want to do inference on a laptop if they have a home internet connection and a phone.
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.
Not everyone grew up in a situation where home was a stable dependable place. Not everyone has a home to go to. If you have it with you, they can't mess with it or take it away from you when you're not there. If you grew up in a broken home, you would understand.
And those people are buying $10k laptops to run local AI?
Those people won't be buying the Spark laptop, but asking "why anyone would want to do inference on a laptop" is broader than what the article covers.
The spark laptop in its present form is not very good, in fact, it’s disappointing.
Because maybe you don't want to send your private data to a company that could use it for whatever it wants?
The RTX Spark is also sold in a mac mini form factor. That's pretty well suited for home inference.
private memory.
unique local data and know how not shared with cloud.
I have been saying this for years, and the answer hits a nerve that gets you downvoted into oblivion: people prefer the aesthetics of laptops, simple as that. They will absolutely go to the grave arguing that they need the mobility etc, then just leave it plugged in. They simply prefer how laptops look, and they absolutely hate it when someone dares say it.
I have a laptop for work. 95% of the time i'd prefer a tower or at least a mini PC with proper cooling, but that remaining 5% i have to be around with the laptop is enough. I don't like the idea of having to remember to sync the projects every time (especially while i'm in the middle of testing something new so it's not like i can just pull the latest commit or sync the latest good version of something)
If you do any travel whatsoever a laptop is usually not optional.
I wonder if you could port the GB10's drivers over? They're extremely similar and the GPU itself identifies all the same specs.[1]
Also very curious if the NPU is visible in Linux, too.
https://www.xda-developers.com/nvidia-rtx-spark-laptops-same...
I am starting to wonder whether CEOs everywhere ( but especially in US ) are simply unable to read the room. I shrugged off nvidia when they did it to gaming and mining ( it annoyed me, but ultimately there were options to deal with it ), but here it is touching a much wider populace with repercussion well beyond crypto and gaming.
2 months old laptop has power management issues on Linux. What a suprise!
Still miles ahead compared to Apple, where linux does not even boot on newer macs!
Agreed, i bet they will fix this quickly to help sell more units
Assume I'm naive on this matter, but why wouldn't Nvidia allow its own DGX OS to be a first party OS on these devices? Some sort of MS subsidy? Ecosystem-wise, wouldn't it make sense for Nvidia to keep pushing its own OS on all the devices containing its hardware?
I do wonder how much it would cost to "clean room" engineer the firmware using AI.
Unrelated to this slowdown, I could imagine this sort of thing being the right application for things like Taalas, although I'm not quite sure whether it can actually offer what I imagine that it can (i.e. ability to make a cheap, physically small card that can run a large model).
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.
You probably won't be able to run a sota model on a single Talaas card. You probably need a set. It should theoretically be cheaper, faster, more power efficient than Nvidia at running that model. But then you are stuck with a chip that can run only that model. And I understand that context size will also be a problem.
Yeah, that was why I felt that, while Taalas might not be the right thing in general, it could be really appealing in a laptop, that would otherwise not be able to run any big model at all.
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.
Remember when Apple was slowing down iPhones, the outrage!
But with Nvidia people just expect they nerf all the features.
Have you tried lact to increase clock/power level? https://flathub.org/en/apps/io.github.ilya_zlobintsev.LACT
This one is allegedly/hopefully a bug but just waiting for it to become a revenue stream / paywall. Uh oh, you want to run locally your dangerous illegal foreign open models, not licensed by Nvidia? Can’t work with you paying for a special security feature unlock on your GPU.
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.
just reverse engineer the firmware...
As a DGX Spark user, this article title gave me conniptions.
But, on the other hand, having my DGX Spark stack at hand, I know the solution:
"AI views proprietary components as damage and routes around them."The attack on reverse engineering of games is a precursor to universal computing lockdown. When you need AI to keep up with programming, the entity controlling the AI controls what software is possible to create. It’s a bid for centralised control and thought censorship at a scale and depth much more ambitious than anything we have ever seen before.
Sovereign AI has never been more important.
The ecosystem and community around the DGX Spark platform is semi-sovereign AI, or at least its as close to it as we can find so far.
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.
> conniptions
TIL. Nice word.
Do you know that 1 + 1 = 10 in binary?
I know that, because I read the article, but if all I'd read was the title, I'd not know that.
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.
As always, nothing has changed, Nvidia is always shit in supporting Linux.
Decompile time
much ado about nothing, it'll probably come out in some time. Just microsoft trying to capture market/midnshare initially
Wtf is Nvidia doing?! I was considering buying one, but now?
You're not supposed to want to buy one (https://www.osnews.com/story/146277/sam-altman-wants-to-take...)
I think the backlash meme on that one (https://preview.redd.it/what-has-got-to-do-with-ram-v0-ry70i... and such) is hilarious.
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.
ai labs need better stewards besides the carton / comic level villainy from sam altman and dario
I'm starting to feel empathy with those people who think bus lanes are coming form their freedom as part of some conspiracy to take away their cars.. I would like private enjoyment of my own RAM to use as I wish please.