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 ...
Apple’s MLX machine learning framework, originally designed for Apple Silicon, is getting a CUDA backend, which is a pretty big deal. Here’s why. The work is being led by developer @zcbenz on GitHub ...
It’s almost time for the AI event of the year, NVIDIA GTC. Thousands of developers, innovators, and business leaders are preparing to head to San Jose, California for the important annual conference ...