Perplexity explains Lily: purpose-built inference vs general-purpose MLX-LM framework
perplexity_ai · x · 2026-09-03
Perplexity elaborated on Lily's positioning: hybrid compute splits work between cloud models and a local model on the Mac, so local inference must keep pace with the rest of the task. MLX-LM is a general-purpose framework, while Lily is purpose-built for this inference workload — treating prefill (many tokens at once, weight reuse) and decode (one token at a time, memory-bandwidth-bound) as fundamentally different.
Related event: Perplexity Open-Sources Lily, a Local Inference Engine for Apple Silicon(8 posts)→
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