Summary
A user demonstrated inferencing the Llama3.2-1B-Instruct model across three Mac Mini M4s using a custom data parallelism implementation. This setup leverages an allToall architecture, built from scratch with socket libraries, allowing the model to run distributedly even when data exceeds a single GPU's capacity. It showcases an innovative approach to running AI models on consumer-grade hardware clusters.
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