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","datePublished":"2026-08-20","dateModified":"2026-08-20","author":{"@type":"Person","@id":"https:\/\/blog.terabox.com\/author\/flextech-admin\/#Person","name":"flextech-admin","url":"https:\/\/blog.terabox.com\/author\/flextech-admin\/","image":{"@type":"ImageObject","@id":"https:\/\/secure.gravatar.com\/avatar\/ad516503a11cd5ca435acc9bb6523536?s=150&d=mm&r=gforcedefault=1","url":"https:\/\/secure.gravatar.com\/avatar\/ad516503a11cd5ca435acc9bb6523536?s=150&d=mm&r=gforcedefault=1","height":96,"width":96}},"publisher":{"@type":"Organization","name":"terabox","logo":{"@type":"ImageObject","@id":"http:\/\/blog.terabox.com\/wp-content\/uploads\/2021\/11\/logo\u4ea7\u54c1\u540d-\u7ad6\u7248.png","url":"http:\/\/blog.terabox.com\/wp-content\/uploads\/2021\/11\/logo\u4ea7\u54c1\u540d-\u7ad6\u7248.png","width":900,"height":900}},"image":{"@type":"ImageObject","@id":"https:\/\/img.youtube.com\/vi\/zTLJNHj0DeQ\/maxresdefault.jpg","url":"https:\/\/img.youtube.com\/vi\/zTLJNHj0DeQ\/maxresdefault.jpg","height":"","width":""},"url":"https:\/\/blog.terabox.com\/insights\/mlx-on-device-ai-apple-silicon","video":{"@context":"http:\/\/schema.org\/","@type":"VideoObject","@id":"https:\/\/www.youtube.com\/watch?v=zTLJNHj0DeQ#VideoObject","contentUrl":"https:\/\/www.youtube.com\/watch?v=zTLJNHj0DeQ","name":"Why MLX \u2014 Prince Canuma, Neywa Labs","description":"MLX is an array framework for Apple Silicon, essentially PyTorch for your Mac, and this is a tour of what it can run: real-time vision models that describe the world around you, sub-100ms text-to-speech, speech-to-speech pipelines, omni models that take image and audio together, and video generation from a text prompt on 16GB of VRAM. A recent breakthrough called Turbo Quant cuts KV cache by 4x and gets 1M context running fully on device. The community projects include a native voice app, a robot speaking in real time with a cloned voice, and a system that chains video generations into a coherent story \u2014 all without a cloud call.\n\nThe underlying argument: the cloud assumption doesn't hold everywhere. Not for someone in Africa on an unreliable connection. Not for a local agent that needs to stay on. 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