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1. If you're a gamer, this seems comparable to a 3070 Laptop, which is comparable to a 3060 Desktop.

2. If you're a ML researcher you use CUDA (which only works on NVIDIA cards), they have basically a complete software lock unless you want to spend an undefined number of X hundreds of hours fixing and troubleshooting compatibility issues.

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There has been an M1 fork of Tensorflow almost since the chip launched last year. I believe Apple did the leg work. It’s a hoop to jump through, yes, and no ones training big image models or transformers with this, but I imagine students or someone sandboxing a problem offline would benefit from the increased performance over CPU only.

https://blog.tensorflow.org/2020/11/accelerating-tensorflow-...

Seem on the long term game here my dear all. Have amd sponsor that kind of activities. Or intel. …

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