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AMD might've gotten more traction if it wasn't schizophrenic with regards to compute support on its hardware. GCN was such a great architecture for heavy comput

AMD might've gotten more traction if it wasn't schizophrenic with regards to compute support on its hardware. GCN was such a great architecture for heavy compute, yet it was mostly wasted by shit software. Crypto really only managed to use it because there was more money to be made using AMD, justifying the wrangling needed to get compute to work on it. Now they continue to waste their potential with ROCm's design choices which make its hardware support range very limited.

latchkey 3y ago
In my eyes, as someone who ran 150k+ AMD gpus for crypto... it really boiled down to being able to heavily tune various aspects of the GPUs. Each GPU is a snowflake and being able to tweak the knobs individually, really made a huge difference on performance. Super low level performance enhancements in code helped a lot too. I worked with some of the popular mining apps to improve things there. AMD is already backporting ROCm to "lesser" hardware [0]. I wouldn't expect them to spend too many resources on going back further than that though. I'd rather see them improve their newer stuff. The larger issue is that it is impossible to rent time on the super high end GPUs that they use to build the super computers with... nobody offers that and it is something I'm working on fixing. [0] https://www.tomshardware.com/news/amd-enables-rocm-and-pytorch-on-radeon-rx-7900-xtx https://www.tomshardware.com/news/amd-enables-rocm-and-pytor...