Sources
KarthikApple 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
Siddharth SharmaMustafa (@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
ModularLearn 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



