this post was submitted on 08 Sep 2023
307 points (100.0% liked)
Technology
37707 readers
271 users here now
A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.
Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.
Subcommunities on Beehaw:
This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
AMD supports ML, its just a lot of smaller projects are made with CUDA backends, and dont have developers there to switch from CUDA to OpenCL or similar.
Some of the major ML libraries that used to built around CUDA like Tensorflow has already made non CUDA branches, but thats only because tensorflow is open source, ubiquitous in the scene and litterally has google behind it.
ML for more niche uses basically is in the chicken and egg situation. People wont use other gpus for ML because theres no dev working on non CUDA backends. No ones working on non CUDA backends because the devs end up buying Nvidia, which is basically what Nvidia wants.
There are a bunch of followers but a lack in of leaders to move the direction in a more open compute environment.
Huh, my bad. I was operating off of old information. They've actually already released the sdk and apis I was referring to.