Alex Cheema(@alexocheema):Apple's AI strategy is Apple Silicon. The iPhone, iPad, MacBook, Mac Mini and Mac Studio all use the same hardware architecture. Apple Silicon is energy efficient, quiet, and the memory unit economics are incredible. Apple has leaned hard into Local AI, now serving every segment of Local AI, from SLMs running on an iPhone/iPad to 2T models running on a cluster of 4 x 512GB M5 Ultra with RDMA using @exolabs (the cluster has 2TB memory @ 4.8TB/s). Most inference will run locally, and Apple wants it to run on their silicon. The main issue I see right now is the software. We need a stable, canonical inference engine rather than 10 unstable, incomplete ones. Who is solving this?

2026.09.13 01:59

Apple's AI strategy is Apple Silicon. The iPhone, iPad, MacBook, Mac Mini and Mac Studio all use the same hardware architecture. Apple Silicon is energy efficient, quiet, and the memory unit economics are incredible. Apple has leaned hard into Local AI, now serving every segment of Local AI, from SLMs running on an iPhone/iPad to 2T models running on a cluster of 4 x 512GB M5 Ultra with RDMA using @exolabs (the cluster has 2TB memory @ 4.8TB/s). Most inference will run locally, and Apple wants it to run on their silicon. The main issue I see right now is the software. We need a stable, canonical inference engine rather than 10 unstable, incomplete ones. Who is solving this?

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