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chaosfox | 5 years ago

unfortunately having a competitive card is only half the battle, they also need all the deep learning libraries to support using this card otherwise nobody is going to bother. I hope AMD understands that I enlists their own engineers to help the community make this card support solid.

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FredFS456|5 years ago

ROCm (https://rocmdocs.amd.com/en/latest/) is their compute framework/stack. Not as good as CUDA but has support for Tensorflow etc

dogma1138|5 years ago

The problem is that ROCm is only for linux which is still a huge downside, and it doesn't have good support (or support at all) for the consumer grade GPUs, pretty much Polaris onwards is good luck, heck even Radeon VII isn't well supported.

CUDA works because any NVIDIA GPU will run CUDA this means it's easier to learn, easier to prototype and easier to ship and the code you ship isn't limited to the datacenter.

What AMD needs to do to "win" an HPC GPU launch is to have an event which is 95% "How we fixed ROCm, and here is our full software roadmap and support guarantee for the next 5 years" and the remaining 5% "oh btw here is our new silicon, it's really fast and shiny".