My Intel Arc 750 works quite well at 1080 and is perfectly sufficient for me. If people need hyper refresh rates and resolution and all all the bells well then have fun paying for it. But if you need functional, competent gaming, at US$200 Arc is nice.
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.
I jumped to team red this build.
I have been very happy with my 7900XTX.
4K max settings / FPS on every game I’ve thrown at it.
I don’t play the latest games, so I guess I could hit a wall if I play the recent AAA releases, but many times they simply don’t interest me.
What other company besides AMD makes GPUs, and what other company makes GPUs that are supported by machine learning programs?
My Intel Arc 750 works quite well at 1080 and is perfectly sufficient for me. If people need hyper refresh rates and resolution and all all the bells well then have fun paying for it. But if you need functional, competent gaming, at US$200 Arc is nice.
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.
Apple. Their own processors have both GPUs and AI accelerators. But for some reason, the industry refuses to use them.
I jumped to team red this build.
I have been very happy with my 7900XTX.
4K max settings / FPS on every game I’ve thrown at it.
I don’t play the latest games, so I guess I could hit a wall if I play the recent AAA releases, but many times they simply don’t interest me.