MLX vs llama.cpp on Apple Silicon: Which Local LLM Runtime to Actually Use

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One is a portable inference engine, the other an array framework that also trains — and that single difference settles almost every practical question.

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MLX vs llama.cpp on Apple Silicon: Which Local LLM Runtime to Actually Use

One is a portable inference engine, the other an array framework that also trains — and that single difference settles almost every practical question.

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MLX vs llama.cpp on Apple Silicon: Which Local LLM Runtime to Actually Use

Popular in the last 7 days

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MLX vs llama.cpp on Apple Silicon: Which Local LLM Runtime to Actually Use

How to Build an LLM Evaluation Harness That Catches Real Regressions

Prompt Caching Explained: Cutting Agent Costs Without Touching the Model

Speculative Decoding and Multi-Token Prediction: How LLMs Generate Faster

Structured Output and Constrained Decoding: Making LLMs Return Valid JSON

Reranking Explained: Why Your RAG Pipeline Needs a Second Scoring Pass

Vector Database Comparison: pgvector, Qdrant, Weaviate, Milvus and Chroma

Best Open-Weight Embedding Models 2026: Benchmarks, Dimensions and VRAM Cost