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LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime

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Re: LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime

#51
post #46

Earlier quoted context omitted.

You can't have the CUDA substring in the name or anything a court would deem potentially confusing. Even if "CUDA" wasn't registered, using a similar name could be seen as an attempt to pass off the product as affiliated with or endorsed by NVIDIA. The similarity in names could be construed as an attempt to unfairly benefit from NVIDIA's reputation and market position. If the open-source project implements techniques…

I wonder to what ends trademark protections reach. Firsthand example, both SpaceX and Subaru have services called Starlink. Subaru Starlink was first, but SpaceX Starlink is more famous. I've been confused and I've seen others be confused by the two.

A trademark is scoped to a specific industry / application.

Starlink for internet is unlikely to be confused with STARLINK for Subaru car safety systems. (Perhaps the all caps also helps if they were sued)

Trademark applications are scoped so that you can’t monopolize a name, you only own the name within the industry you operate in.

For example, there’s a real estate investment fund named Apple and even trades with stock ticker APLE.

Re: LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime

#52
post #46

Earlier quoted context omitted.

I wonder to what ends trademark protections reach. Firsthand example, both SpaceX and Subaru have services called Starlink. Subaru Starlink was first, but SpaceX Starlink is more famous. I've been confused and I've seen others be confused by the two.

Those are two totally different businesses and industries, so their trademarks dont clash

Subaru Starlink is a wireless communication network for Subaru cars, it lets the cars make phone calls to Subaru customer support and emergency services. I believe it's also how Subaru cars update their car navigation. It is a subscription service.

SpaceX Starlink is a wireless communication network for internet service, including on-the-road service. It is a subscription service.

You tell me this doesn't confuse people who aren't privy to the technical details.

Re: LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime

#53

I think the point of open cuda is to run it on non NVIDIA gpus. Once you have to buy NVIDIA gpus what’s the point. If we had true you competition I think it would be far easier to buy devices with more vram and thus we might be able to run llama 405b someday locally. Once you already bought the NVIDIA cards what’s the point

Some people believe being able to build on fully-open software stacks has value in and of itself. (I happen to be one of those people.)

Another benefit could be support for platforms that nvidia doesn't care to release CUDA SDKs for.

Re: LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime

#54

Earlier quoted context omitted.

"Globalist WEF Guardrails" Tell us what you really feel

If you use all the GPTs enough - you'll see them clear as day... And by saying "Tell us how you really feel" reveals, you may not have thought of The Implications of the current state of AI. (I can give you a concrete example of the WEF guardrails: I have a LBB of some high profile names that are all related around a specific person, then I wanted to see how they were related to one another from a publicly available…

I don't necessarily disagree with your overall point (I don't know much about it either way), but I'm not sure your example does a great job illustrating it. If you tried the same thing, but with non-high-profile names, would it give you the same response? If so, the charitable (and probably correct) interpretation is that this is a general privacy guardrail, not one that's there to protect the powerful/rich.

Re: LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime

#56
post #8

Since ZLUDA was taken down (by request from AMD of all parties), it would be better to have some ZLUDA replacement as a general purpose way of breaking CUDA lock-in. I.e. something not tied to Nvidia hardware.

> At this point, one more hostile corporation does not make much difference. I plan to rebuild ZLUDA starting from the pre-AMD codebase. Funding for the project is coming along and I hope to be able to share the details in the coming weeks. It will have a different scope and certain features will not come back. I wanted it to be a surprise, but one of those features was support for NVIDIA GameWorks. I got it working in Batman: Arkham Knight, but I never finished it, and now that code will never see the light of the day:

So if I understand it correctly there is something in the works

https://github.com/vosen/ZLUDA

Re: LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime

#57
post #54

Earlier quoted context omitted.

If you use all the GPTs enough - you'll see them clear as day... And by saying "Tell us how you really feel" reveals, you may not have thought of The Implications of the current state of AI. (I can give you a concrete example of the WEF guardrails: I have a LBB of some high profile names that are all related around a specific person, then I wanted to see how they were related to one another from a publicly available…

I don't necessarily disagree with your overall point (I don't know much about it either way), but I'm not sure your example does a great job illustrating it. If you tried the same thing, but with non-high-profile names, would it give you the same response? If so, the charitable (and probably correct) interpretation is that this is a general privacy guardrail, not one that's there to protect the powerful/rich.

> If so, the charitable (and probably correct) interpretation is that this is a general privacy guardrail, not one that's there to protect the powerful/rich

Considering that some of the champions behind machine learning, like Google, are companies that made a living out of violating your privacy just to serve more ads to your eyeballs.. I wouldn't be so charitable.

Tech bros have an inherent disregard for the privacy of others or for author rights for that matter. Was anyone asked if their art could be used to train their replacement?

Power for me, not for thee.

Re: LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime

#58

Earlier quoted context omitted.

"Globalist WEF Guardrails" Tell us what you really feel

If you use all the GPTs enough - you'll see them clear as day... And by saying "Tell us how you really feel" reveals, you may not have thought of The Implications of the current state of AI. (I can give you a concrete example of the WEF guardrails: I have a LBB of some high profile names that are all related around a specific person, then I wanted to see how they were related to one another from a publicly available…

I feel like thats a bit too hard of an idea to keep hidden considering the number of engineers and people who worked on this project. I would assume it's some combination of how models are not good at knowing specific people or companies very well since they use patterns for their output and the model being instructed to not allow doxing and harassment.

Not to mention that the rich and powerful you imply are not tech savvy and probably did not understand or know about this tech when the datasets were being made.

Re: LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime

#59

I think the point of open cuda is to run it on non NVIDIA gpus. Once you have to buy NVIDIA gpus what’s the point. If we had true you competition I think it would be far easier to buy devices with more vram and thus we might be able to run llama 405b someday locally. Once you already bought the NVIDIA cards what’s the point

The NVidia software stack has the "no use in datacenters" clause. Is this a workaround for that?

Specifically the clause is that you cannot use their consumer cards (e.g. RTX 4090) in datacenters.

Re: LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime

#60

I have limited experience with CUDA but will this help solve the CUDA/CUDNN dependency version nightmare that comes with running various ML libraries like tensorflow or onnx?

That's torches bad software distribution problem. No one can solve it apart from torch distributors
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