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Nvidia RTX Spark

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Re: Nvidia RTX Spark

#371

Post by pjmlp »

fidotron wrote: post #274
pjmlp wrote: post #257

Earlier quoted context omitted.

It is simple, Android NDK has all the same APIs for 3D rendering and audio, as do all major middleware engines. The failure of business, only reinforces Windows as the platform most studios reach for. Buy Windows, buy Visual Studio, pay game engines licenses, let Valve do the work. This ignoring that current Valve's management doesn't live forever, so who knows what happens afterwards.

At this point Valve look more capable of running a platform business than Microsoft do. Microsoft have spent the whole Nadella era in "oooo cloud" inspired wonder and actively screwed up everything else.

And yet where are the native games for the platform?

Note how game developers rather spend their working hours in Windows with all its issues, even if they happen to have Linux servers for running their MMOs.

Re: Nvidia RTX Spark

#372

Post by pjmlp »

hootz wrote: post #346
porphyra wrote: post #305

Lots of comments are expressing skepticism about compatibility but it's pretty cool how Nvidia has the clout to convince a bunch of game publishers and creative apps to release Arm versions. Popular games like League of Legends as well as stuff like Adobe Photoshop and Premiere are getting native Arm ports. > Over 100 Windows software providers such as Adobe, Blackmagic Design, Blender, CapCut, ComfyUI and OTOY, and…

Will this push even more games into Linux?

Most games are Windows games running on Proton.

What would push more games would be Valve actually making it worthwhile to natively target Linux.

Re: Nvidia RTX Spark

#373

Post by pjmlp »

fg137 wrote: post #195
chris_money202 wrote: post #135

Earlier quoted context omitted.

WSL

It often works, but you always lose something compared to native Linux.

Nah, before WSL I was already using a mix of Virtual Box and VMware Workstation, between home and work computers.

Installing Linux natively on laptops has always had some specific features not working.

Even my Asus netbook, which came with Linux pre-installed, had wlan issues that I learned to work around with, and the driver never supported the same OpenGL version as the Windows one (3.3 vs 4.1).

Re: Nvidia RTX Spark

#374

Post by zer0zzz »

What are these things going to cost? I hope not the same as a mac equivalent or as much as a dgx.

Geekbench cpu bench leaks indicate they aren’t as good as m3 at single core even.

Will they support booting into a Linux installer?

Re: Nvidia RTX Spark

#375

Post by bch »

"The performance is off the chart!"

More seriously, obviously a ton of work in an incredibly competitive space, and an incredible machine (without getting into competitive comparisons/minutiae). Was watching a techtechpotato[0] quick post pre-launch about "why is this even being tried?", which was also interesting. What an age we live in.

[0] https://youtu.be/JdB722MK380?si=GnLAYqT9ZecMhWCS

Re: Nvidia RTX Spark

#376

Post by branko_d »

Shitty-kitty wrote: post #322
stingraycharles wrote: post #318

Earlier quoted context omitted.

This thread is almost 1:1 identical to when Apple released their own silicon. This has the potential to be a worthy competitor for the Windows ecosystem, precisely because of NVidia’s moat as the grandparent pointed out. Microsoft pulls in their weight as well, so this seems like it has a decent chance of getting industry support.

Yes, there is a chance but it could also turn into another Itanium. Just because it is a superior product and backed by giants, doesn't necessarily guarantee success.

Itanium was arguably not superior. The assumption behind it (that the compiler can bring order to the chaos) was wrong, making it slower, more expensive, and less efficient than x86 in real-world scenarios.

Re: Nvidia RTX Spark

#377

Post by woctordho »

fg137 wrote: post #133
thinkingtoilet wrote: post #117

Earlier quoted context omitted.

If the workload is offloaded to the chip, why would the host platform matter?

Lots of machine learning workflows support Linux better than Windows, if they run on Windows at all. (e.g. https://docs.vllm.ai/en/latest/getting_started/quickstart/ ) DGX Spark runs Linux, and nobody is going to install Windows on that machine. This laptop got it backwards. If someone decides to run Ollama for local inference with this laptop, they fit perfectly into the "has too much money to waste" bracket, which…

There is vllm-windows, and it's just as fast as on Linux. BTW I'm the maintainer of triton-windows.

Re: Nvidia RTX Spark

#378

Post by woctordho »

Shitty-kitty wrote: post #319
thewebguyd wrote: post #273

Earlier quoted context omitted.

What secret sauce? We already have open source tooling for tool use, web browsing, and code execution/computer use. Open weight models will win in the end. AIaaS might keep an edge with multi-modal agentic workflows, but for 80% of general use cases, no "secret sauce" needed, the open weight models are already there, and tooling is constantly getting better. The bottleneck is the cost of local hardware right now.

The "secret sauce" is vendor lock-in. A textbook case is the vmware broadcom situation. Vmware was cheap so corporations found little reason to use open source. Broadcom made vmware expensive but now those corporations are finding out that it is a lot of work (aka expensive) to switch infrastructure.

The purpose of open source is exactly to fight against vendor lock-in. There is always a way to convert VMs from VMware to open source formats.

Re: Nvidia RTX Spark

#379

Post by noodletheworld »

stingraycharles wrote: post #318
Shitty-kitty wrote: post #310

Earlier quoted context omitted.

Press releases are easy. Delivering on promises, not so much.

This thread is almost 1:1 identical to when Apple released their own silicon. This has the potential to be a worthy competitor for the Windows ecosystem, precisely because of NVidia’s moat as the grandparent pointed out. Microsoft pulls in their weight as well, so this seems like it has a decent chance of getting industry support.

Yeah but like, Apple put Rosetta 2 out and it was damn good.

Vendors didn’t have to do shit to support the platform, they just got better performance if they did (like factorio).

There is something of a difference between “all your stuff will still work, at comparable performance” and arm windows which (as evidenced by all the vendor promises) you can’t really currently say with prism.

I would describe prism as “surprisingly rubbish considering they had an example of how to do it right” and “your app probably doesn’t run because of drivers or some ??? compatibility thing”.

Am I misremembering? I remember being blown away by Rosetta.

Prism… yeah. Toggle the settings. Disable jit. Disable FP. …bin laptop. Get an intel laptop.

Re: Nvidia RTX Spark

#380

Post by woctordho »

postalrat wrote: post #283
artyom wrote: post #262

Earlier quoted context omitted.

I'm from the times when you had to purchase a separate chip to perform floating point math. It was called a math co-processor. [1] After a few generations (and over a decade) that was indistinguishable from the CPU chip itself. It's a long hyperbole, I know, but I think local inference is inevitable; and the big fishes know it. Will that be a complex technical setup? An appliance? An additional chip in your motherboa…

Like the math co-processor it might end up just being new instructions for the cpu to handle ai related math.

And here comes ACE (AI Compute Extensions) on the latest CPUs
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