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.
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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.