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Yeah, I suppose the "run it local and on a budget" crowd isn't that big, but maybe they do have some free time to improve the software ecosystem.
by ahefner 4y ago
Yeah, I suppose the "run it local and on a budget" crowd isn't that big, but maybe they do have some free time to improve the software ecosystem.
- kkielhofner 4y agoThe problem is “on a budget” applies if your time is free. Most of the ML ecosystem is still gold plated - talent, hardware, etc with talent being the biggest cost for most applications. Frankly, Nvidia doesn’t exactly foster goodwill (just look at any HN thread when they come up). I suspect that a decent number of people are willing to throw time and pull requests into the ROCm ecosystem just out of spite for Nvidia. Good for them because Nvidia needs a serious competitor! I’m rooting for AMD but I’ve always been in the position of “it needs to work now in the shortest and cheapest path of least resistance” which has always been, and will be for the foreseeable future, CUDA.
- nerdyadventurer 4y agoI am also really passionate to see AMD cards for consumer ML workloads.