LibreCuda VS ZLUDA

sorry, I didn't mean nvapi, I meant rmapi.

I bet you saw this https://github.com/mikex86/LibreCuda

they implemented the cuda driver by calling into rmapi.

My understanding is if there is a remote rmapi, other user mode drivers should work out of the box?

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

... or mirror a recently updated fork. :)

https://github.com/vosen/ZLUDA/forks?include=active&page=1&p...

It seems the last commit to master was 9e56862.

TL;DR: How much of this is a potential class-action[1] and how much of this is failure to deliver on AI?

Am I missing something? On one hand, I think I get it: Intel hasn't been a GPU company historically. On the other, this quotes seems suspicious given Intel's gen 13 and 14 cores have issues:

> Simply put, we must align our cost structure with our new operating model and fundamentally change the way we operate

At the same time, my understanding is AMD seems ahead[2] of Intel in AI / CUDA support. This quote seems to be a nod to that without saying much else:

> Our revenues have not grown as expected — and we’ve yet to fully benefit from powerful trends, like AI. Our costs are too high, our margins are too low.

Before anyone point oout "Intel® Extension for Pytorch*" exists[3]:

1. That seems to be the official name (what?)

2. Their installation homepage seems a little convoluted[4]

[1]: https://www.pcmag.com/news/intel-faces-potential-class-actio...

[2]: https://github.com/vosen/ZLUDA

[3]: https://intel.github.io/intel-extension-for-pytorch/xpu/late...

[4]: https://intel.github.io/intel-extension-for-pytorch/xpu/late...

It now supports AMD GPUs since 3 weeks ago, check the latest commit at the repo:

https://github.com/vosen/ZLUDA

The article also mentions exactly this fact.

Looks like nvidia is trying to keep the lynchpin of their entire business model from crumbling underneath them. ZLUDA lets you run unmodified CUDA applications with near-native performance on AMD GPUs.

https://github.com/vosen/ZLUDA

With Triton looking to eclipse CUDA entirely, im not sure this prohibition does anything more than placate casual shareholders.

>Dark API functions are reverse-engineered and implemented by ZLUDA on a case-by-case basis once we observe an application making use of it.

https://github.com/vosen/ZLUDA/blob/master/ARCHITECTURE.md

> I know AMD have their competition, but their GPU software division keeps tripping over itself.

They are actively stepping on every rake there is. Eg they just stopped supporting the drop-in-cuda project everyone is waiting for, due to there being "no business-case for CUDA on AMD GPUs" [0].

[0] https://github.com/vosen/ZLUDA?tab=readme-ov-file#faq

https://github.com/vosen/ZLUDA

They still funded it and it was created.