
Apple is intensifying its focus on AI with the development of MLX, paving the way for local AI models. MLX eliminates the need for third-party GPU manufacturers like Nvidia as Apple uses its own silicon. The company is expanding MLX capabilities with tools like MAX Engine and MAX Serving for optimizing and deploying AI models.
Apple is going all out with MLX. a few days ago they rereleased MLX with Swift so you can run LLMs locally. now they’re onto MLXServer so you can build APIs around them more easily. solid TF/Pytorch competitor in the making. https://t.co/8auXfSYvax
Mustafa (@maxaljadery) and I are excited to announce MLXserver: a Python endpoint for downloading and performing inference with open-source models optimized for Apple metal ⚙️ Docs: https://t.co/69nBje4BJk https://t.co/vnLtMSJYtL
Learn how to use MAX Engine 🏎️ and MAX Serving⚡️ to optimize and deploy🚀 AI models. Using a simple computer vision example, we walk you through end-to-end cloud model hosting workflow and invocation using client side APIs. Jupyter notebook included! 🎉 ⬇️ https://t.co/xpkK1sEppD
