Summary
An AI engineer is experiencing significant performance bottlenecks with their M1 Pro MacBook Pro when running larger local LLMs (30B+ parameters) and heavy RAG pipelines. They are considering an upgrade to the new M5 Pro/Max, which offers an 8x AI performance jump, but are weighing this against rumors of an M6 redesign. This dilemma highlights the rapid hardware demands of local AI development and the constant upgrade cycle faced by practitioners using consumer-grade machines for cutting-edge AI tasks.
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