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 ...
Snowflake ML and NVIDIA integration puts high-speed AI development in the hands of data scientists Collaboration enables NVIDIA's popular CUDA-X libraries to be seamlessly used within the Snowflake AI ...
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