A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...
The MLX framework is intended to be user-friendly, but still efficient in training and deploying AI models on Apple’s silicon hardware. It has seen growing adoption among developers within the Apple ...
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