517
AMD Quietly Funded A Drop-In CUDA Implementation Built On ROCm: It's Now Open-Source
(www.phoronix.com)
this post was submitted on 12 Feb 2024
517 points (99.1% liked)
Linux
48186 readers
2084 users here now
From Wikipedia, the free encyclopedia
Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).
Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.
Rules
- Posts must be relevant to operating systems running the Linux kernel. GNU/Linux or otherwise.
- No misinformation
- No NSFW content
- No hate speech, bigotry, etc
Related Communities
Community icon by Alpár-Etele Méder, licensed under CC BY 3.0
founded 5 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Presumably they did not want to see Cuda becoming the final de-facto standard that everyone uses. It nearly did at one point a couple of years ago, despite the lack of openness and lack of AMD hardware support.
i heavily rely on CUDA for many things i do on my personal computer. If this establishes itself as a reliable method to use all the funky CUDA stuff on AMD cards, my next card will 100% be AMD.
If there were a drop in equivalent to CUDA with AMD, I'd have several AMD cards, right now.
They stopped funding the replacement, not CUDA.
By funding an API-compatible product, they are giving CUDA legitimacy as a common API. I can absolutely understand AMD not wanting a competitors invention and walled-off product to be anything resembling an industry standard.
It already has legitimacy. It's their hardware that doesn't, despite the decent raw flops and high memory.
That is contradicted by the headline. This easy confusion between CUDA (the API) and CUDA (the proprietary software package that is one implementation of it) illustrates the problem with CUDA.
ZLUDA seems to be an effort to fix that problem, but I don't know what it's chances of success might be.
It's just a bad headline. They funded a CUDA replacement, then stopped funding it, as a result of which the project was released as open source.